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Journal articles on the topic 'Agricultural pattern'
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1
Singh, Dharmender, P. S. Shehrawat, Joginder Singh Malik, Dangi Pooja Arun, and Dinesh Kumar. "Utilization Pattern of Mobile Apps Among Farmers for Agricultural Production." Indian Journal of Extension Education 59, no. 1 (2023): 150–53. http://dx.doi.org/10.48165/ijee.2023.59132.
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The study was undertaken in the four specifically chosen districts of Haryana state in diverse geographical locations and had different crop patterns. In a number of districts, the main cropping pattern was rice and wheat, combined with pearl millet and mustard. This study aimed to determine how agricultural mobile apps were used by farmers for agricultural productivity by using a utility index. In accordance with a well-planned and pre-tested interview schedule, the data were gathered from 240 respondents, including 15 respondents each from randomly chosen 16 villages. Utilization pattern checked for general information of agriculture practices, utilization of mobile apps for gaining market related information and utilization of mobile apps to contact the agriculture experts in order to find out the solution of agriculture problems. More than half of the respondents perceived medium level of utilization pattern of agriculture mobile apps on agricultural practices. To increase the extent to which farmers use agricultural mobile apps for agricultural production, outreach programs and trainings are required.
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Rogoyski, Matthew, Alvan Gaus, Thomas Mourey, Israel Broner, and Jeffrey Lakey. "Generative Patterns: A Potential Role in the Management of Complexity in Production Agriculture." HortScience 31, no. 4 (August 1996): 666a—666. http://dx.doi.org/10.21273/hortsci.31.4.666a.
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A novel way to capture long-standing agricultural experience and knowledge in the form of generative patterns is proposed. These patterns can be thought of as solution paradigm where the solutions are the essence of the patterns. A pattern does not provide a concrete solution to a problem but can be considered of as a worldview of the problem or a solution space. A pattern initiates and generates human cognitive behaviors that indirectly facilitate, elucidate, and solve a problem. An application of generative patterns to production agriculture is proposed. An individual pattern, as described here, associates a problem, its context, the forces affecting it, and a solution. A pattern recurring in production agriculture, the socalled uniformity pattern, is presented, and its horticultural example is discussed.
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Gayathri, E., and K. Sita Devi. "Changes in the Land Use Pattern and Cropping Pattern among Different Gradients of Tiruchirapalli District – A Farm Level Analysis." Asian Journal of Agricultural Extension, Economics & Sociology 41, no. 11 (December 9, 2023): 382–96. http://dx.doi.org/10.9734/ajaees/2023/v41i112295.
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Agriculture plays a vital role in an Indian Economy. Changes in land use subsequently leading to decreased agricultural land in favour of the provision of residential accommodation in most urban settlements. The extent of land use is also influenced by technological changes over a period of time. The technological changes in agriculture ignited intensive cultivation resulting in conversion of marginal lands into productive agricultural lands through capital intensive cultivation. Changes in farming and land use patterns result in urbanisation, which puts ecological stability and food security at risk. Within this background, the study has been formulated with the objectives of land use pattern and cropping pattern is to analyse the temporal changes in the land use pattern and the loss of agricultural land in the selected rural, peri-urban and urban gradients, to study the changes and shift in cropping pattern and to estimate the crop diversification across the gradients. A multistage stratified random sampling technique was used. The data has been analysed using descriptive statistics, diversification indices, multiple regression analysis and garett ranking. The results of farm level analysis revealed that the conversion of the agricultural land through human settlements and other uses was more pronounced in the urban and peri-urban households than the rural households, might be due to urbanization and industrialization. The results also revealed that the gradual shift in the cropping pattern was pronounced in the rural gradient, followed by peri-urban and urban gradients. The major constraint faced by the sample respondents were water scarcity and labour scarcity for the land use and crop diversification.
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Singh, Akhilesh Kumar, and Arun Kumar Singh. "Land use and cropping pattern change in Chandauli District, Uttar Pradesh: A geographical analysis." National Geographical Journal of India 66, no. 3 (September 30, 2020): 259–73. http://dx.doi.org/10.48008/ngji.1746.
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Observation of land uses is an important tool to assess surface change at different spatio-temporal scales. There are six categories of land use discussed in which agricultural land-use class one. Any plan or policy related to agriculture land use brings a change in agricultural performance and cropping patterns. Apart from this, the cropping pattern is also governed by the law of comparative advantage concerning Agro-climatic conditions. The present paper focuses on the changes that have taken place in land use and cropping pattern in Chandauli district from 2000-01 to 2015-16. The study reveals that there has been a significant change in land use pattern and cropping pattern as settlement class of land use increase 22.72 per cent in 2015 and the area of rice and wheat crops increase 12829 ha. and 9767 ha. respectively from 2000-01 in the study area.
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Sagar, Sandip. "Changing Pattern of Agricultural Mechanization in Nalanda District of Bihar." Journal of Advanced Research in English and Education 05, no. 02 (February 19, 2021): 1–4. http://dx.doi.org/10.24321/2456.4370.202004.
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In agricultural production, farm mechanisation is a very necessary input. The number of tractors has increased rapidly, and in recent years, the population of draught animals has decreased in Bihar. A study was conducted in Nalanda District of Bihar, to classify the trend of tractor use and their economics. Mechanization is one of the most striking and pervasive phenomena of our times. Unfortunately, its study has been neglected by the social sciences, which have not sufficiently recognized that while technology itself belongs to the field of the natural sciences, its far-reaching effects on social life make it a vital subject for study by the social sciences. Insufficient and high variable precipitation and low fertility are major constraints to agricultural productivity. This brings the role of irrigation facilities and use of fertilizers. India is witnessing growth in irrigation facilities. Wells, canals and dams are constructed to cater needs of farmers. However, there is a lot to be achived in this regard. Applaying fertlizes are increasing day by day. It increases production as well as productivity of the field. At the same time, there is rampat mechanization of agriculture. Thus, it reduces human efforts and increases production of the field.
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Yadav, Swati. "Changing cropping pattern in U.P. Bundelkhand Region." National Geographical Journal of India 67, no. 4 (December 31, 2021): 385–402. http://dx.doi.org/10.48008/ngji.1785.
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Agriculture is a dominant economic activity in India. About 70% of its population is directly or directly related and dependent on agriculture so the availability of land for cultivation is important for those people who are engaged in agriculture. Cropping pattern is also an important aspect to know the agricultural scenario of any area. The pattern of cropping is very much affected by population growth and other physical and economic factors. In this paper, an attempt has been made to analyze the changing cropping pattern in Bundelkhand Region in the last two decades from 1994-95 to 2014-15.The major crops that occupy the agricultural land of the region are Cereals(40.52%),Pulses(41.06%),Oilseeds(15.46%),Cash crops(1.31%),Fodder(0.35%)and Other crops(1.29%). In this time of 20 years (1994-95 to 2014-15), a trend of positive change is found in all groups except fodder and other crops.
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Sun, Qingru, Meiyi Hou, Shuaiwei Shi, Liwei Cui, and Zenglei Xi. "The Influence of Country Risks on the International Agricultural Trade Patterns Based on Network Analysis and Panel Data Method." Agriculture 12, no. 3 (March 3, 2022): 361. http://dx.doi.org/10.3390/agriculture12030361.
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The pattern of international agricultural trade is undergoing profound changes. The influence of country risks on the international agricultural trade pattern is prominent. In this paper, we comprehensively analyze the international agricultural trade patterns and explore the influence of country risks on them. Specifically, we first construct an international agricultural trade network (IATN) based on complex network theory. Second, we analyze each country’s diversity of import sources and the position of countries in the IATN using the Herfindahl–Hirschman Index (HHI) and network indicators, such as in-degree, out-degree, weighted in-degree, weighted out-degree, and betweenness centrality. Third, this paper explores the influence of different types of country risks, including economic risk and political risk, on international agricultural trade patterns using the panel regression method. The results show that countries played different roles and occupied different positions in the international agricultural trade pattern; notably, the United States occupied a core position, while Japan and Mexico had insufficient diversity in import sources. Moreover, based on the panel regression method, we find that political risks have a positive impact on the agricultural trade pattern, while an unstable economic environment could inhibit the agricultural trade pattern in various countries. This study could provide references for countries to implement agricultural trade policies regarding country risks to ensure stable agricultural trade relations and national food security.
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Gu, Bo Xuan, Yu Hua Wang, and Yan Peng Li. "Evaluating the Spatial Pattern of Organic Agricultural Enterprises in China." Applied Mechanics and Materials 361-363 (August 2013): 127–35. http://dx.doi.org/10.4028/www.scientific.net/amm.361-363.127.
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In recent years, considerable worldwide development in organic agriculture has attracted widespread attention from scholars both within and outside China, driven by its effects on environmental protection, food safety and health, international green barriers, At present, most of the existing research focuses on the production technology, development mode and benefit evaluation of organic agriculture, with relatively less concern about the activities of organic agricultural enterprises. Based on the indicators of number of enterprises, number of certificates, and certificate types, this paper analyzes the features characterizing the spatial distribution of organic agricultural enterprises in China. The results show that there are significant spatial variations in degree of diversity, degree of concentration, and evolving trajectories. It suggests that provinces and autonomous regions should give full play to the regional comparative advantages in order to facilitate the development of different types of organic agriculture.
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Metzger, Jean Paul. "Effects of deforestation pattern and private nature reserves on the forest conservation in settlement areas of the Brazilian Amazon." Biota Neotropica 1, no. 1-2 (2001): 1–14. http://dx.doi.org/10.1590/s1676-06032001000100003.
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The effects of deforestation patterns, private nature-reserve extents and agricultural fallow periods on forest conservation were simulated for settlement projects in the Brazilian Amazon that produce a fish-bone pattern of occupation and where slash-and-burn agriculture is predominantly used. Data for simulation was obtained from previous work at the Bragantina region, the oldest agricultural frontier in the Brazilian Amazon. Forest conservation was evaluated using the size of remnant forest fragments, the amount of interior habitat, the connectivity among fragments and the extent of fragmentation. Results showed that the best scenario for forest conservation is the maintenance of 80% of the lot as privatereserve using deforestation pattern that allow to group the reserves from different farmers at the end of the lot. When private-reserve coverage is bellow 80% of the landscape, forest conservation status will be influenced by the deforestation pattern. Some patterns (e.g. random location of deforestation plots) will then be particularly deleterious, producing a highly fragmented landscape, while other patterns (e.g., progressive deforestation from one edge) can allow the maintenance of large forest fragments. To get forest conservation in these cases, private-reserve extent and deforestation pattern should be considered together. Considering both forest conservation and agricultural use, progressive patterns of deforestation (or land use) in a lot of 2,000m by 500m, with private nature-reserves covering 50% of the landscape seems to be the best compromise. To guarantee the private forest preservation, these forests should be pre-established when settlements are planned and grouped at the end of the lots.
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Kareemulla, K., Pandian Krishnan, S. Ravichandran, B. Ganesh Kumar, Sweety Sharma, and Ramachandra Bhatta. "Spatiotemporal Analysis of Size and Equity in Ownership Dynamics of Agricultural Landholdings in India Vis-à-Vis the World." Sustainability 13, no. 18 (September 13, 2021): 10225. http://dx.doi.org/10.3390/su131810225.
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The increasing threat to sustainable agriculture is a major concern of planners worldwide. Human population growth together with increasing food requirements and competition for land use is leading to land scarcity for agricultural purposes. Farm size influences the extent of the adoption of mechanization and modern methods of farm management practices, which in turn results in increased productivity, production efficiency and agricultural income. We studied changes in macroeconomic factors such as dependency on agriculture, growth of the sector, the pattern of landholdings and tenure rights across major agriculturally important countries, as well as the priority of agriculture for the national economy (i.e., the share of agriculture in the national income) and its relationship to changes in farm size. The data on the percentage of area under farming, population growth, size of the agricultural workforce and other social dimensions from 24 countries of different geographical sizes were analysed. We used parameters such as the extent of changes in cropland, family-owned land, the agricultural workforce and their productivity, number of holdings and their distribution, women-headed holdings and finally total and per capita agricultural income, and measured the changes over time and space. The published data from national and international sources were used to establish the relationship between farm size and farm efficiency measured through the selected parameters. The results clearly establish that the size of farm holdings had an inverse relationship with the population dependent on agriculture, share of agriculture in national income and tenure rights. Australia had the largest average agricultural landholding (3243 ha), while India and Bangladesh had the lowest (1.3 and 0.3 ha, respectively). The inequality in the distribution of farmland ownership was greater in developed countries than in developing countries. Female farmland ownership was less than 20% in most developing countries and the relationship between the number of farm households and farm outcomes was found to have weakened over time. India, a developing as well as an agriculturally important country, was subjected to detailed analysis to understand the spatiotemporal dynamics of the size, distribution and ownership patterns of agricultural landholding.
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Naveen Kumar Gautam et al.,, Naveen Kumar Gautam et al ,. "Internet Utilization Pattern Among Agricultural Students." International Journal of Educational Science and Research 8, no. 2 (2018): 9–12. http://dx.doi.org/10.24247/ijesrapr20182.
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G., Ravikumar, Manoharan R., Sugapradha G. R., and Jenifer P. "A clinical and epidemiological study of upper limb injuries resulting from agricultural accidents." International Surgery Journal 4, no. 11 (October 27, 2017): 3622. http://dx.doi.org/10.18203/2349-2902.isj20174680.
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Background: Agriculture remains the most important occupation in India and upper limb injuries occur frequently in agricultural accidents. Agriculture related injuries are important causes of mortality and morbidity in all age groups. These injuries result in major physical and psychological impacts as well as economical burdens. Objectives of the study was to study the pattern and epidemiological basis of agricultural hand injuries, to analyse the prognosis and recovery pattern of agricultural hand injuries in terms of return to work following treatment and to suggest measures for prevention of agricultural hand injuries.Methods: The study was a descriptive study conducted in the department of plastic and reconstructive surgery, Thanjavur medical college from October 2012 to April 2017. About 220 patients admitted with agricultural upper limb injuries were evaluated. Data on age, sex, injury patterns, anatomical localizations, injury season, length of stay in the hospital, and infections were evaluated.Results: Agricultural upper limb injuries constituted about 11.25% of total upper extremity trauma. Males were more commonly affected than females. Majority of the patients were in the age group 21-50. Most of the patients were right handed individuals. Hand injuries were more common (73%).Conclusions: We can reduce agricultural upper limb injuries by shielding the rotating components of farming machinery that cause injuries, informing and educating farming families, forbidding the entrance of children to areas with agricultural machines, providing information about agricultural accidents and their prevention methods, and adjusting the working hours of farming personnel, especially in the hottest months of the year.
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Karak, Anirban. "Pattern of Industrial Growth in West Bengal during 1980–1991." Journal of South Asian Development 12, no. 1 (April 2017): 65–88. http://dx.doi.org/10.1177/0973174117700468.
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Three trends in industrial development contribute to the industrial history of West Bengal during the 1980–1991 period—the continuation of a secular decline in terms of employment and value added in manufacturing industries vis-à-vis other states, an ancillarization and flexibilization of production into small-scale factories with less than 20 workers, and a differential impact of this ancillarization on basic goods and consumer goods industries, with the former performing much better than the latter. Viewed through the theoretical lens of structural demand and agriculture–industry relations, the relatively slower growth of consumer goods industries poses a puzzle when the spectacular growth of agricultural output during the 1980s is considered. In this article, I suggest that tying together three factors—the impact of the ‘Green Revolution’ on West Bengal’s agriculture, the nature and effect of the Left Front’s land reforms, and the role of rural commercial capital—can in turn hold together three outcomes for the period 1980–1991 in a single explanation—high agricultural growth, mass poverty among the rural poor despite land reforms and agricultural growth, and the poor growth of consumer goods industries despite high agricultural growth.
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Mungai, Leah M., Joseph P. Messina, and Sieglinde Snapp. "Spatial Pattern of Agricultural Productivity Trends in Malawi." Sustainability 12, no. 4 (February 11, 2020): 1313. http://dx.doi.org/10.3390/su12041313.
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This study aims to assess spatial patterns of Malawian agricultural productivity trends to elucidate the influence of weather and edaphic properties on Moderate Resolution Imaging Spectroradiometer (MODIS)-Normalized Difference Vegetation Index (NDVI) seasonal time series data over a decade (2006–2017). Spatially-located positive trends in the time series that can’t otherwise be accounted for are considered as evidence of farmer management and agricultural intensification. A second set of data provides further insights, using spatial distribution of farmer reported maize yield, inorganic and organic inputs use, and farmer reported soil quality information from the Malawi Integrated Household Survey (IHS3) and (IHS4), implemented between 2010–2011 and 2016–2017, respectively. Overall, remote-sensing identified areas of intensifying agriculture as not fully explained by biophysical drivers. Further, productivity trends for maize crop across Malawi show a decreasing trend over a decade (2006–2017). This is consistent with survey data, as national farmer reported yields showed low yields across Malawi, where 61% (2010–11) and 69% (2016–17) reported yields as being less than 1000 Kilograms/Hectare. Yields were markedly low in the southern region of Malawi, similar to remote sensing observations. Our generalized models provide contextual information for stakeholders on sustainability of productivity and can assist in targeting resources in needed areas. More in-depth research would improve detection of drivers of agricultural variability.
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Saparita, Rachmini. "PERKEMBANGAN KOMERSIALISASI PERTANIAN DI INDONESIA DAN PROYEKSINYA 2005-2050." Jurnal AGRISEP 4, no. 2 (September 1, 2005): 1–16. http://dx.doi.org/10.31186/jagrisep.4.2.1-16.
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This article identified the growth commercial agriculture through diversification of crops to predict the process of agricultural transformation in Indonesia. The result showed that the growth of commercial agriculture was varied. Some provinces, such as Jakarta, West Java, North and West Sumatera, Riau, Kalimantan, Midle and South Sulawesi, which had low index, commercialization worked well. The economic pattern of their farmer changed from subsistence to commercial. Agricultural development in those provinces entered to the growth and advanced stages of agricultural transformation. However, others provinces, which had high index, commercial agriculture worked poorly. For all provinces outside Java islands, the cause of those high indexes were predicted by several factors, such as lack of infrastructure, remote areas, and other limitations, so that business accesses to outside areas were not run well. For all provinces inside Java islands, the cause was predicted by the excessive of subsistence agriculture, so that commercial agriculture was delayed, while other areas were suited for various food crops type. From that situation it could be concluded that agricultural development was not spread equally for every province in Indonesia. Since agricultural development policies were such as the existing strategies, the growth of commercial agriculture were predicted would not affect the increase of farmer’s income, because the growth was not caused by transformation of agricultural economic pattern from subsistence to commercial, but was caused by agriculture household enlargement. Consequently, the government should apply land reform policy immediately.Key words: agricultural diversification, agricultural commercialization, agricultural transformation, and agricultural development
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Zumaeroh, Zumaeroh, Agus Prabawa, Siti Muntahanah, Bagus Adhitya, and Sodik Dwi Purnomo. "The Entrepreneurial Pattern Sought To Improve Food Security." Eduvest - Journal of Universal Studies 3, no. 1 (January 24, 2023): 191–200. http://dx.doi.org/10.36418/eduvest.v3i1.726.
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Agriculture is a sector that has the potential to be developed because it is a buffer for food sovereignty. Therefore it is necessary to change a new paradigm in agricultural development. Agricultural management is not through a farming approach but is business-oriented. The younger generation who are familiar with digital technology is the hope in the regeneration of old farmers. To support the realization of food security, young farmers known as millennial farmers need to be educated about entrepreneurial patterns in agriculture or agripreneurship. The method of community service carried out is counseling which begins with the presentation of the material, continued with discusi, and mentoring is carried out. The target group for community service is millennial farmers in Kroya village who are members of Karang Taruna. The number of participants was 35 people. Counseling is carried out face-to-face. The result of this activity is that young farmers understand that they can develop their business even better, so that this farmer profession can become a decent livelihood for them
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Zumaeroh, Zumaeroh, Agus Prabawa, Siti Muntahanah, Bagus Adhitya, and Sodik Dwi Purnomo. "The Entrepreneurial Pattern Sought To Improve Food Security." Eduvest - Journal of Universal Studies 3, no. 1 (January 24, 2023): 191–200. http://dx.doi.org/10.59188/eduvest.v3i1.726.
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Agriculture is a sector that has the potential to be developed because it is a buffer for food sovereignty. Therefore it is necessary to change a new paradigm in agricultural development. Agricultural management is not through a farming approach but is business-oriented. The younger generation who are familiar with digital technology is the hope in the regeneration of old farmers. To support the realization of food security, young farmers known as millennial farmers need to be educated about entrepreneurial patterns in agriculture or agripreneurship. The method of community service carried out is counseling which begins with the presentation of the material, continued with discusi, and mentoring is carried out. The target group for community service is millennial farmers in Kroya village who are members of Karang Taruna. The number of participants was 35 people. Counseling is carried out face-to-face. The result of this activity is that young farmers understand that they can develop their business even better, so that this farmer profession can become a decent livelihood for them
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Sarkar, Anupam. "Agricultural Mechanization in India: A Study on the Ownership and Investment in Farm Machinery by Cultivator Households across Agro-ecological Regions." Millennial Asia 11, no. 2 (August 2020): 160–86. http://dx.doi.org/10.1177/0976399620925440.
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Despite the signs of distress and fatigue in Indian agriculture, the use of machines in crop operations has increased manifold in recent times. Proponents of mechanization argue that mechanization saves time and cost, and improves agricultural productivity. The Government of India has also encouraged mechanization through subsiding farm machinery and establishing custom hiring centres. Earlier studies have found significant regional variation in the spread of agricultural mechanization. Cost of cultivation data collected by Commission for Agricultural Costs and Prices (CACP) reveal that although the share of machine labour in the cost of cultivation per hectare has increased, there exist significant differences across crops in the use of mechanical input. Empirical studies in different regions have found a significant presence of the rental market for services of agricultural machinery. However, in recent years there have been very few studies on the patterns of mechanization based on household-level data on ownership and investment in agricultural machinery and implements. Agro-ecological characteristics of a region are said to have a significant impact on the level of mechanization. Ownership of machinery is also significantly influenced by the factors such as size of landholding, access to irrigation and access to institutional credit. The pattern of investment and ownership of machinery has important implications on the profitability of farming. This article uses unit-level data from the All-India Debt and Investment Survey (NSS 70th round 2013) to study the pattern of agricultural mechanization in India based on the ownership of agricultural machinery and implements. Using ownership and expenditure data it studies the questions of recent patterns in agricultural mechanization across agro-ecological regions and land classes.
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Mustajib, Mustajib. "Village Community Agricultural Law Policy In The Era Globalization." International Social Sciences and Humanities 1, no. 2 (July 20, 2022): 391–99. http://dx.doi.org/10.32528/issh.v1i2.198.
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Efforts to meet food needs through food security policies must be a central issue in building community welfare in villages. The starting point for the development of agricultural law politics must be based on a plan to build a sustainable agricultural system. This effort begins with the development of a sustainable rural community farming system to improve the quality of life. Agricultural policy regulations in Indonesia still cause many problems, including the conversion of agricultural land to non-agricultural land, the low welfare of farmers and land reform policies. To uncover the causes of these problems, this study aims firstly to discuss the legal politics of rural agriculture in Indonesia from the Old Order to the Reformation era, and secondly to provide ideas for improving the development of agricultural law policies in order to meet global challenges and rural economic development. This study uses a normative legal research method which is analyzed with a statutory approach and a historical approach. The results of the study conclude that, during the Old Order, the direction of legal politics in the agricultural sector was more emphasized on the inventory of agricultural and plantation land. During the New Order era, the direction of legal policy in the agricultural sector was divided into two patterns, namely the pattern towards food sovereignty and the semi-industrial agricultural pattern. The Reformation period showed the dominance of the influence of foreign capitalism in legislation and the idea offered to respond to global challenges was to build agricultural law policies based on village economic democracy.
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Untari, Untari, and Maria Veronoca Irene Herdjiono. "LAND OWNING PATTERNS ON RICE FARMING: Increasing Production and Efficiency." Jurnal Ilmiah Pertanian 16, no. 2 (February 29, 2020): 118–15. http://dx.doi.org/10.31849/jip.v16i2.3731.
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Merauke has a large potential for agricultural land with a type of agriculture that can be developed, namely a wetland farming system that is very suitable for paddy production. The objectives of this study are: a) to know the patterns of paddy farming, b) analyze the level of production from land tenure patterns, and c) analyze the level of economic efficiency of paddy farming in the pattern of paddy farmland ownership in Marga Mulya village, Semangga District, Merauke Regency. The study used 60 respondents as a source of data and information on primary research data. Data analysis method used to answer the research objectives is farming analysis and R/C ratio. The results of the study concluded that there are two patterns of rice farming land ownership, namely the pattern of ownership of private land and leased land. The two patterns of land ownership show that the pattern of ownership of private land has a higher production compared to the pattern of ownership of rent versus 2,785.71 kg/ha/season and 2,313 kg/ha/season with an efficiency level of 2.57% and 2.51%.
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Corry, Robert C. "Characterizing Fine-scale Patterns of Alternative Agricultural Landscapes with Landscape Pattern Indices." Landscape Ecology 20, no. 5 (July 2005): 591–608. http://dx.doi.org/10.1007/s10980-004-5036-8.
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Sambasivam, Veerasekar Palaniappan, Gowtham Thiyagarajan, Golam Kabir, Syed Mithun Ali, Syed Abdul Rehman Khan, and Zhang Yu. "Selection of Winter Season Crop Pattern for Environmental-Friendly Agricultural Practices in India." Sustainability 12, no. 11 (June 3, 2020): 4562. http://dx.doi.org/10.3390/su12114562.
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Owing to the sudden changes in climatic conditions, monsoon failure, and scarce availability of resources because of population hike, yielding a minimum profit has become a challenge for Indian farmers. This is a severe problem for India, as a major part of the Nation’s Gross Domestic Product (GDP) depends on agriculture. To change this dreadful situation, Indian farmers must employ sustainable agricultural practices in farming, as it will help them to meet their agricultural needs and economic stability. Here, we have built a framework for selecting the ideal crop pattern for Winter Cropping Season (Rabi Season), as crop pattern plays a vital role in the effective function of sustainable agricultural practices. We have used the rough AHP-TOPSIS (Analytical Hierarchy Process-Technique for Order Preference by Similarity to Ideal Solution) method for finding the best crop pattern for the Rabi season, by considering all the influential criteria in terms of agriculture sustainability. Our study demonstrates an overall idea to the farmers and stakeholders about attaining maximum crop productivity with optimum use of available resources, without compromising the economic, social, and ecological aspects of agriculture.
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N, Karunakaran. "Growth of Crop-output in Kerala–Is it Real or monetary?" Artha - Journal of Social Sciences 14, no. 4 (October 1, 2015): 89. http://dx.doi.org/10.12724/ajss.35.5.
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The main feature of the development of agriculture in Kerala in the last five decades is the change in cropping pattern and shift in cultivation, that is, shift in the cultivated area under food grain crops to non-food grain crops and shift in the cultivated area under one non-food grain crop to another non-food grain crop. The growth of agricultural crop output and productivity has been affected by many factors. The sources of output growth like area effect, yield effect and cropping pattern effect have relevance in deciding the programmes of agricultural development and priorities of investment in it. The growth of agricultural output in the state like that of other parts of India is influenced by the gross cropped area, productivity and level of prices. The increase in the agricultural crop output is decomposed into real and monetary components. The real component includes area effect, yield effect, cropping pattern effect and interaction effect. The monetary elements consist of the pure price effect, price yield effect, price cropping pattern effect and total interaction effect. From the analysis of thedecomposition of output growth into real and monetary components of Kerala agriculture in the last five decades, the general conclusions arrived at are: price factor is the major element in determining the relative contribution of different elements to the growth of crop output and the overall growth in the Kerala agriculture is monetary growth in nature rather than real growth.
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Biswas, Payal, Aditi Sharan, and Ashish Kumar. "Context Pattern Based Agricultural Named Entity Recognition." Research in Computing Science 148, no. 10 (December 31, 2019): 383–99. http://dx.doi.org/10.13053/rcs-148-10-32.
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Kalita, Amarendra. "Changes in labor pattern and agricultural mechanization." Journal of Management Research and Analysis 6, no. 1 (April 15, 2019): 9–13. http://dx.doi.org/10.18231/j.jmra.2019.003.
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Bhanumurthy, K. V., and Lalit Kumar. "Climate Change and Agriculture in India: Studying Long-Term Patterns in Temperature, Rainfall, and Agricultural Output." Management and Economics Research Journal 4, no. 2 (2018): 156. http://dx.doi.org/10.18639/merj.2018.04.670098.
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This paper provides an estimate of the impact of climate change on agricultural gross domestic product in India. Climate change is now an established reality, and the unusual weather patterns being observed in various parts of the world in the last 30 years is unequivocally due to variations in temperature and rainfall. The long-term trend pattern of the temperature and rainfall in India is studied, which clearly shows a distinct rise in mean temperature and declining trend rainfall after 1980. ARIMA analysis is used to generate the predictive values for temperature and rainfall, which are then used as explanatory variables along with nonclimatic variables to estimate the impact on agricultural output using an augmented Cobb-Douglas production function. The paper clearly establishes a clear and positive correlation between climate change and loss of agricultural output. The trend pattern of long-term productivity growth factor in agriculture is also showing a declining trend, which is due to unfavorable climatic and nonclimatic factors. Climatic parameters like El Niño and sea surface temperature have emerged as key determinants of monsoon rainfall in India. The agriculture sector in India has been adversely affected by rise in mean annual minimum temperature and shown a positive correlation with the changes in monsoon rainfall and mean annual temperature.
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Wiguno, Dwi Prastyo, and Faradlillah Saves. "OPTIMIZATION OF PLANTING PATTERNS ON PADDY PLOTS IN PURI VILLAGE, PURI DISTRICT, MOJOKERTO REGENCY, EAST JAVA USING A LINEAR PROGRAM." Jurnal Teknik Sipil 23, no. 1 (February 28, 2023): 146. http://dx.doi.org/10.26418/jtst.v23i1.60899.
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The research site is located in one of the hamlets in Puri village, which has an agricultural land area of approximately 25 hectares. Because of its fertile soil conditions, the land is very suitable for agriculture. However, the agricultural productivity in Puri village has decreased due to changing weather conditions. Puri village, Puri district, Mojokerto regency, has a flat landscape. The duration of the dry season is slightly longer, affecting the availability of water and causing a change in the initial cropping period. As a result, the cropping pattern in the village is not appropriate, leading to a decrease in agricultural productivity. To solve these problems, an optimal cropping pattern needs to be planned to increase agricultural productivity in the village. In order to plan the optimal cropping pattern, the first thing that needs to be done is to calculate the availability of existing water. Then, the need for irrigation water should be calculated. Using the two sets of calculation data, the optimal cropping pattern can be planned with linear program. The analysis is revealed that Puri village has an optimal cropping pattern with a Paddy-Corn-Corn cropping model and an initial planting period in December period 2.
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Munir, Agus Qomaruddin, Farida Nur Aini, Evrita Lusiana Utari, and Naufal Naja Hafidhah. "BIG DATA CONCEPT ANALYSIS FOR AGRICULTURAL SUITABLE LAND GEOGRAPHIC INFORMATION SYSTEM APPROACH." Jurnal Teknik Informatika (Jutif) 4, no. 4 (August 21, 2023): 923–29. http://dx.doi.org/10.52436/1.jutif.2023.4.4.1328.
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Big data analysis for agriculture provides farmers with a comprehensive view of the concept of increasing agricultural productivity using the effectiveness of irrigation canals, predicting rainfall to determine outcrop patterns, and identifying the adequacy of agricultural land. It also allows farmers to optimize irrigation, increasing yields while reducing costs and environmental impact. It also will enable farmers to optimize irrigation; Rainfall predictions are used to determine cropping patterns and identify suitability for permits. It can also be used to deal with weather patterns and climate change, allowing farmers to adapt their practices to reduce the impact of climate change, ultimately protecting their crops and currency. This research aims to develop plant productivity through several stages of research and the use of methods. The methods used in this study are 1)Prediction of water discharge using the linear regression method; 2)Prediction of Rainfall for Planting Pattern Training using the SARIMA method, and 3)Suitability of Agricultural Land using the Cluster Area Analysis Approach. The results of this study are that in the Sleman region, the adequacy of water for agricultural areas is in the excellent category (fulfilled), cropping pattern spending is divided into 2, namely dry and wet months. In the wet months (high rainfall), rice is suitable for planting from January to May; for the dry months between June and October, tobacco, soybeans, corn, peanuts, green beans, cassava, and sweet potatoes. As for land suitability, it consisted of 46025.36 Ha (81%) suitable and 10811.48 Ha not suitable for use.
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Chaurasia, Ashutosh Kumar, Alok Kumar Choubey, and Gayatri Rai. "A spatio-temporal analysis of cropping pattern, crop diversification and production in Tarai region of Uttar Pradesh." National Geographical Journal of India 67, no. 4 (December 31, 2021): 371–84. http://dx.doi.org/10.48008/ngji.1784.
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Agriculture remains the most important occupation and source of livelihood for the majority of the population in our country. The study of cropping patterns, diversification and production is important in agricultural development. Cropping pattern is the proportion of area under various crops while crop diversification refers to the raising of various crops. Agricultural productivity is an input-output ratio that facilitates efficient comparison. These concepts are influenced by various geo-climatic, socio-economic and institutional factors. Tarai region is a marshy moist area lying between Himalayan foothills and Gangetic plains. In Uttar Pradesh, the region extends over 7 districts from Pilibhit to Maharajganj. This region is predominantly agrarian. The present paper aims to study the cropping pattern, Spatio-temporal pattern of crop diversification and production of crops at the district level in the Tarai region of Uttar Pradesh for the period of 2007-08 to 2017-18. The study is based on agricultural data collected from Statistical Abstract of Uttar Pradesh. 13 crops under 4 categories are selected in total. The study uses the location quotient technique for calculating crop concentration, the Gibbs-Martin (1962) method for calculating crop diversification and other statistical measures for analysis. It was found that cropped area of the region has decreased in the reference period and the region is dominated by the cultivation of cereal crops and sugarcane. Low crop diversification was recorded in the region due to similar physical conditions and the practice of traditional agriculture. Production and productivity of crops have greatly increased primarily due to the increasing production of sugarcane. It is believed that the present study will help ascertain the ground reality of agriculture in the study region.
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A. G. Nimase, A. G. Nimase, and Dr T. N. Lokhande Dr. T. N. Lokhande. "Cropping Pattern and Agricultural Landuse in Mohol Tahsil of Solapur District (MS)." Indian Journal of Applied Research 3, no. 11 (October 1, 2011): 235–37. http://dx.doi.org/10.15373/2249555x/nov2013/75.
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Ningaraju and S. Arun Das. "CROPPING PATTERN AND CROP RANKING OF MYSORE DISTRICT." International Journal of Research -GRANTHAALAYAH 5, no. 4 (April 30, 2017): 334–38. http://dx.doi.org/10.29121/granthaalayah.v5.i4.2017.1827.
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With the limited resources of land and water in hand, their optimum use is a must to for increased production of food grains to the demands of increasing population. The productivity in any area can be substantially raised by growing the crops suitable to the area with the help of newly developed agricultural techniques. Rainfed crops would continue to dominate in the agriculture of Mysore district.
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SUN, S. K., P. T. WU, Y. B. WANG, and X. N. ZHAO. "Impact of changing cropping pattern on the regional agricultural water productivity." Journal of Agricultural Science 153, no. 5 (September 24, 2014): 767–78. http://dx.doi.org/10.1017/s0021859614000938.
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SUMMARYWater scarcity is a major constraint of agricultural production in arid and semi-arid areas. In the face of future water scarcity, one possible way the agricultural sector could be adapted is to change cropping patterns and make adjustments for available water resources for irrigation. The present paper analyses the temporal evolution of cropping pattern from 1960 to 2008 in the Hetao Irrigation District (HID), China. The impact of changing cropping patterns on regional agricultural water productivity is evaluated from the water footprint (WF) perspective. Results show that the area under cash crops (e.g. sunflower and melon) has risen phenomenally over the study period because of increased economic returns pursued by farmers. Most of these cash crops have a smaller WF (high water productivity) than grain crops in HID. With the increase of area sown to cash crops, water productivity in HID increased substantially. Changing the cropping pattern has significant effects on regional crop water productivity: in this way, HID has increased the total crop production without increasing significantly the regional water consumption. The results of this case study indicate that regional agricultural water can be used effectively by properly planning crop areas and patterns under irrigation water limitations. However, there is a need to foster a cropping pattern that is multifunctional and sustainable, which can guarantee food security, enhance natural resource use and provide stable and high returns to farmers.
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Nag, Nitin Kumar, and Arun Solanki. "Employment Pattern of Landless Labour in Baraut Block of Baghpat District (U.P.)." International Journal of Current Microbiology and Applied Sciences 11, no. 1 (January 10, 2022): 11–14. http://dx.doi.org/10.20546/ijcmas.2022.1101.002.
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This research has accomplished an enlightenment on “Employment Pattern of Landless Labour in baraut block of Baghpat district (UP)” by conducting a survey on selected study area based on family size, education status, employment pattern and employment generation. This survey screened out that the majority of landless labours in study area are not aware with the maximum government schemes. They are unupdated and following the same old pattern in their employment and family too. They are not trying to upgrade themselves and taking advantages of government schemes in agricultural sector’s employment. They are more attracted towards non-agricultural employment sectors comparing to agricultural sector jobs because it is easily available on lower pay scale. As they are not upgrading themselves which resulted improper or irregular employment in their basic sectors. Findings showed that those landless labours need to be aware with the upgraded government schemes made for agricultural labours as much as possible by which they will get able to find more ideas of employment in the sector of agriculture. By taking these steps they would be able to take advantages by upgrading their lives and improving agricultural sectors in our country too.
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Pang, Jiaxing, Hengji Li, Chengpeng Lu, Chenyu Lu, and Xingpeng Chen. "Regional Differences and Dynamic Evolution of Carbon Emission Intensity of Agriculture Production in China." International Journal of Environmental Research and Public Health 17, no. 20 (October 16, 2020): 7541. http://dx.doi.org/10.3390/ijerph17207541.
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The study of the carbon emission intensity of agricultural production is of great significance for the formulation of a rational agricultural carbon reduction policy. This paper examines the regional differences, spatial–temporal pattern and dynamic evolution of the carbon emission intensity of agriculture production from 1991 to 2018 through the Theil index and spatial data analysis. The results are shown as follows: The overall differences in carbon emission intensity of agriculture production presents a slightly enlarging trend, while the inter-regional differences in carbon emissions intensity is decreasing, but the intra-regional difference of carbon emissions intensity presented an expanding trend. The difference in carbon emission intensity between the eastern and central regions is not obvious, and the difference in carbon emission intensity in the western region shows a fluctuating and increasing trend. The overall differences caused by intra-regional differences; the average annual contribution of intra-regional differences is 67.84%, of which the average annual contribution of western region differences is 64.24%. The carbon emission intensity of agricultural production in China shows a downward trend, with provinces with high carbon emission intensity remaining stable, while provinces with low intensity are expanding. The Global Moran’s I index indicates that China’s carbon emission intensity of agricultural production shows a clear trend of spatial aggregation. The agglomeration trend of high agricultural carbon emission remains stable, and the overall pattern of agricultural carbon emission intensity shows a pattern of increasing differentiation from east to west.
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Yusuf, Muhammad Yasir, Rahmat Fadhil, Teuku Saiful Bahri, Hafizh Maulana, and Juli Firmansyah. "Design of Islamic Agricultural Insurance Model: Evidence from Indonesia." International Journal of Sustainable Development and Planning 17, no. 8 (December 30, 2022): 2375–84. http://dx.doi.org/10.18280/ijsdp.170804.
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The agricultural sector is a role model that can be the basis for policymakers to integrate Islamic insurance patterns in agriculture. This research aims to design a model of the Islamic agricultural insurance system based on Islamic law in the context of Indonesia. This study is expected to contribute for Indonesian government to accommodate the implementation of the Islamic agricultural insurance system and pattern in Indonesia. This study used an expert system approach through data collection and information as a reference in the formulation of model designs, including interviews, questionnaires, direct observation, and data synthesis in the field. This research stage used a systems development conceptual model described in the research process, including planning, analysis, design, verification, validation, and building models. The research hypothesis is confirmed that Islamic agricultural insurance can be implemented based on risk and investment with tabarru’ funds (mutual financial aid funds) and investment funds. Islamic agricultural insurance is a way out for farmers, especially Muslim farmers, in ensuring agriculture management by managing the level of risk due to crop failure. Islamic agricultural insurance systems can guarantee risks that arise in agricultural businesses to provide inner peace to farmers in getting the good and right protection for businesses that run following Islamic principles. This research has resulted in innovative features and development models of Islamic agricultural insurance for the Protection and Empowerment of Farmers in Indonesia.
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Patil, Nilesh, Vilas Patil, Sanjaykumar Patil, Bhavesh Patil, Arvind Suryawanshi, and Kavita Jadhav. "Analysis of Urban Growth and Its Impact on Agriculture Land around the Chalisgaon City in Jalgaon District of Maharashtra, India: A Remote Sensing and GIS Based Approach." Journal of Geomatics 16, no. 2 (October 31, 2022): 213–24. http://dx.doi.org/10.58825/jog.2022.16.2.51.
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In India, the agricultural land has tremendously disintegrated which changed the land-use patterns. The agricultural land has declined continuously due to rapid urbanization in the country. In India, nearly 45% of the land cover comes under agriculture area, and 22% is under forest land, whereas this land was drastically decreasing day by day. The main aim of the study is to identify the urban growth along with the land use pattern of Chalisgaon city, situated in the Jalgaon district, of Maharashtra state. This is a comparative study from early 1990 to late 2020. The Landsat images have been used for the years 1990, 2000, 2010, and 2020 to identify the change in land use and land cover pattern. These images are processed and analyzed under GIS and maximum likelihood classification method. The Chalisgaon city covers a total of 1850 hectares area. In the last three decades, the total built-up area has increased from 556 hectares to 920 hectares. It is observed that, the urban expansion of the city is a major factor behind the declination the cultivational land area under study. In 1990 the agriculture area was about 1095 hectares that have been reduced to730 hectares in 2020. This study reveals the agricultural land gradually decreased due to encroachment of urban areas i.e., infrastructural, connectivity, population, and other related facilities.
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Parida, Nishith Ranjan, Damodar Jena, Saswat Kumar Pani, Debendra Nath Dash, Divya Bharti, Abdulkarem Daoun, Vivek Vishal Giri, and Manas Ranjan Behera. "Climate change and cropping pattern in Keonjhar District of Odisha, India." Multidisciplinary Science Journal 6, no. 6 (December 29, 2023): 2024109. http://dx.doi.org/10.31893/multiscience.2024109.
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Climate change is one of the most pressing challenges facing humanity and the natural environment in the 21st century. The agriculture sector is particularly vulnerable to climate change, as it depends on the availability and quality of natural resources, such as land, water, and soil. Climate change can affect the cropping pattern in various ways, such as altering the length and timing of the growing season, changing the water availability and quality, increasing the frequency and intensity of pests and diseases, and creating new opportunities and challenges for crop diversification. The agriculture sector in the Keonjhar district of India has been experiencing changes in its cropping pattern. This study investigates the key drivers for changing cropping patterns in the district. Secondary data was collected from 2011 to 2019 on the areas under crops and production of agricultural and horticultural crops grown in Keonjhar. For primary data, the interview method has been adopted with a sample of 327 marginal and small farmers from two villages in the district. The study revealed positive changes in the area allocated for paddy and mango, but negative changes in the area allocated for maize, mung (Yellow Lentil), biri (White Lentil). Climate change, market status, land ownership, education, the decline in yield, and the production of crops were the main drivers of the changes in crop patterns during the past few decades. This research proposes agricultural intensification and policy direction to promote the cultivation of paddy, maize, and mango trees to sustain livelihoods in the Keonjhar district.
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Li, Zhi, Tingting Cao, and Zhongye Sun. "Spatial-Temporal Pattern and Driving Factors of Carbon Emission Intensity of Main Crops in Henan Province." Sustainability 14, no. 24 (December 10, 2022): 16569. http://dx.doi.org/10.3390/su142416569.
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Agriculture is the national economy’s primary industry, and its carbon emissions (CE) are one of the most significant factors influencing the environment. As a large agrarian province, reducing the carbon emission intensity (CEI) of agricultural is of great practical significance to the sustainable development of agriculture in Henan province. In this paper, the CEI of rice, maize, and wheat from 2001 to 2020 in 18 prefecture-level cities in Henan province was calculated, and its spatial-temporal evolution patterns were analyzed. The Spatial Dubin model was used to study the impact mechanism and spatial spillover effect of the main crops’ CEI. As a result, the following was determined: (1) The CEI of main crops in 18 cities of Henan province showed an inverted “V” shape, whereas the geographical distribution showed an oblique “T” shape mainly in the north and west. (2) The CEI of main crops was significantly different under different factors. Technical efficiency, agricultural openness, urbanization level, agriculture production agglomeration, and agriculture fiscal expenditure negatively impact the main crops’ CEI. The structure of the food industry and the cost of water for agriculture and forestry positively affect the CEI of main crops. (3) The spatial spillover effects of agricultural openness, production technology efficiency, environmental protection, and fiscal expenditure spread to the surrounding areas through factor flow, technology spillover, and policy spread. The efficiency of production technology and fiscal expenditure on environmental protection have a demonstrative effect, and the degree of agricultural openness has a siphon effect. Based on the research results, we should strengthen agriculture technology extension and investment and gradually improve technical efficiency. Agriculture should be financially supported by the government. We will actively promote the optimization of the structure of the grain industry by promoting orderly urbanization, strengthening the sharing of factors among regions, and reducing the CEI of main crops.
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Gu, Xingguo, Ying Wang, Keyi Shi, Fuyan Ke, Shanting Ying, and Qixian Lai. "Emergy-Based Sustainability Evaluation of the Mulberry-Dyke and Fish-Pond System on the South Bank of Taihu Lake, China." Sustainability 14, no. 17 (August 23, 2022): 10463. http://dx.doi.org/10.3390/su141710463.
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The Taihu Lake drainage basin is the birthplace of the Mulberry-dyke and Fish-pond System (MFS), a traditional eco-agricultural system. In 2017, the largest and best-preserved “Zhejiang Huzhou Mulberry-dyke and Fish-pond System” located by the South Bank of Taihu Lake, China was recognized as Globally Important Agricultural Heritage Systems (GIAHS) by the Food and Agriculture Organization of the United Nations (FAO), and its value has been appreciated. As a dynamic heritage, the sustainable development of MFS is a fundamental requirement of the conservation of GIAHS. In this regard, it is necessary to figure out an approach to evaluating the status of its sustainable development. This paper analyzes and contrasts the emergy embodied in the three patterns of MFS over different periods, then constructs an index system of sustainability evaluation involving the production and consumption processes based on that. Finally, it provides the evaluation and analysis. The three patterns of MFS differ in the system structure. In the Ming and Qing Dynasties (abbreviated as Ming-Qing pattern), MFS was an integrated system compromised of mulberry cultivation, silkworm breeding, fish breeding, and sheep breeding, while other patterns exclude sheep breeding, but increase the input of fertilizer, and add the production of mulberry-leaf tea and other local specialties. The results show that the MFS in the Ming-Qing pattern has the highest integrated evaluation index of sustainable development, followed by the traditional MFS pattern and the new MFS pattern employed nowadays. This indicates that the current capability of sustainable development has decreased compared to that in the Ming and Qing Dynasties. The integrated evaluation index regarding the consumption process of the new MFS pattern is higher than the traditional one, suggesting that it needs to promote sustainability in the production process, especially via the utilization rates of renewable resources and wastes.
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Chellasamy, Dr P., and N. S. Bala Nimoshini Supraja. "A STUDY ON TRANSPOSE OF CROPPING PATTERN AND SINGIFICANT INFLUENCE ON AGRICULTURAL PRODUCTIVITY IN TAMILNADU." International Journal of Engineering Applied Sciences and Technology 7, no. 1 (May 1, 2022): 169–71. http://dx.doi.org/10.33564/ijeast.2022.v07i01.025.
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India is a largest country possesses considerable agricultural development. Several areas exhibit various features hence that none of the plan can be conceived for all agricultural divisions around the country. The national income of agriculture is often taken as a barometer of economic development. Agricultural sector in India has marked an admirable performance over the last decades by improving the global market position. With a 52 of 18 percent between 1969-2021, contribution to GDP decreases and the sector provides 55.47 percent of employment opportunities. On the whole GDP growth towards agricultural sector was 6.9% at the national level. Since, several studies on Tamil Nadu concentrated on areas like cropping pattern related to productivity. Thus, the study attempts to reach the shifting pattern of cropping pattern and significant influence on Agricultural Productivity in Tamil Nadu. The study has taken up for five years from 2016-2017 and 2020--2021 and the select crops are restricted with principal crops only. The selected crops are Cotton, Sugarcane, Tea, Coffee and Coconut. Thus, the study concluded that the price of Tea, Sugarcane, Coffee and Cotton has a greater significant impact on Agricultural productivity. Hence, the study suggests that TNAS has to improve agricultural productivity by making intensive integrated farming system, soil health improvement through bio fertilizer and Green Manuring which induce the residual growth in Agricultural production during the study period.
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Saidulu, Yedavelli. "Impact Of Irrigation Cropping Pattern: A Case Study of Kethepalli Mandal Nalgonda District." Journal of South Asian Studies 8, no. 3 (December 23, 2020): 91–98. http://dx.doi.org/10.33687/jsas.008.03.3797.
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The present study is concerned with major crops, cropping patterns, area, production, and yield of major crops in both spatial and temporal aspects, and socioeconomic change due to agriculture, both irrigated and dryland agriculture in Kethepalli Mandal are part of Nalgonda district of Telangana State, India. The study intends first to identify the major crops and the cropping patterns of the district, by Mandals as well as overtime. Upon identification, an examination and analysis of the pattern of cropping and related aspects are attempted. The interpretation of the analysis is expected to yield an understanding of the development problems of, and prospects for, the irrigated and dryland farming of the district. The present research is introductory in that it introduces a broad overview of agriculture and global development perspectives, Indian agricultural sector, Indian and Telangana agriculture, and then introduces the problem of study, the schemes by the government, the objectives, the study area, the methodology, and the conclusion.
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Zou, Zhigang, Fuping Zeng, Kelin Wang, Zhaoxia Zeng, Leilei Zhao, Hu Du, Fang Zhang, and Hao Zhang. "Emergy and Economic Evaluation of Seven Typical Agroforestry Planting Patterns in the Karst Region of Southwest China." Forests 10, no. 2 (February 7, 2019): 138. http://dx.doi.org/10.3390/f10020138.
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As a vast degraded land ecosystem, the karst region of southwest China is currently experiencing serious conflicts between restoration of degraded vegetation communities and agricultural activities. Furthermore, it is not clear what land use pattern suits local farmers best. To evaluate the sustainability of the degraded agricultural ecosystems in the region, methods for emergy analysis were used to compare the ecological and economic benefits from seven typical agroforestry planting patterns in the Yunnan province. The eco-efficiencies of the apple pattern (AP), pear pattern (PP), pomegranate pattern (PRP) were all lower than that of the traditional corn pattern (CP), although the economic benefit was higher than that of CP. Ecological benefits of the apple-soybean pattern (ASP) and the pear-pumpkin pattern (PPP) were not significantly improved, while ecological and economic benefits of the pomegranate-grass-sheep pattern (PGSP) was improved significantly. Intercropping pumpkin in PP increased the economic efficiency by 28.3%, which was superior to that of the intercropping of soybeans (4.6%) in AP. These data implied that interplanting crops in AP and PP might result in higher economic benefit than the existing interplanting pattern. The multistory agroforestry planting pattern and raising in PGSP could optimize the relationship among tree-grass-sheep and improve ecological and economic benefits. Additionally, scenario analysis showed that local farmers might enjoy better ecological and economic benefits at a large scale by optimizing current agricultural production patterns. Our results suggest that together, both the local government and farmers can adjust the structure of agroforestry ecosystems to foster the sustainable development of the ecological industry in the karst region of China.
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Wang, Guofeng, Pu Liu, Jinmiao Hu, and Fan Zhang. "Spatiotemporal Patterns and Influencing Factors of Agriculture Methane Emissions in China." Agriculture 12, no. 10 (September 29, 2022): 1573. http://dx.doi.org/10.3390/agriculture12101573.
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Explaining the methane emission pattern of Chinese agriculture and the influencing factors of its spatiotemporal differentiation is of great theoretical and practical significance for carbon neutrality. This paper uses the IPCC coefficient method to measure and analyze the spatial and temporal differentiation characteristics of agricultural methane emission, clarify the dynamic evolution trend of the kernel density function, and reveal the key influencing factors of agricultural methane emission with geographical detectors. The results show that China’s agricultural methane emissions showed a first increasing and then declining trend. Agricultural methane emissions decreased from 21.4587 million tons to 17.6864 million tons, with an upward trend from 2000 to 2005, a significant decline in 2006, a slow change from 2007 to 2015, and a significant decline from 2015 to 2019. In addition, the emissions pattern of the three major grain functional areas is characteristic; in 2019, agricultural methane emissions from main producing area, main sales area, and balance area were 10.8406 million tons, 1.2471 million tons, and 5.599 million tons, respectively. The main grain producing area is the main area of methane emissions, and the emission pattern will not change in the short term. The variability of grain functional areas is the decisive factor for the difference in agricultural methane emissions. The state of industrial structure is the key influencing factor for adjusting the spatial distribution—the explanatory power of the industrial structure to the main producing areas reached 0.549; the level of agricultural development is the most core influencing factor of the spatial pattern of the main grain sales area—the explanatory power reached 0.292; and the level of industrialization and the industrial structure are the core influencing factors of the spatial pattern of the balance area—the explanatory power reached 0.545 and 0.479, respectively.
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Patacsil, Frederick F., Jennifer M. Parrone, Monica B. Brosas, and Bobby F. Roaring. "Analysis of Concerns of the Agricultural Sector in the Philippines using Associative Rule." International Journal of Membrane Science and Technology 10, no. 3 (August 16, 2023): 3316–24. http://dx.doi.org/10.15379/ijmst.v10i3.3293.
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The Philippines is an agricultural country famous for its wide range of natural resources scattered over the archipelago. The country’s agriculture sector comprises four sub-sectors: fisheries, farming, livestock, and forestry. The COVID-19 pandemic, according to the Food and Agriculture Organization, is straining food systems and causing food insecurity across the world. This study used a mixed method that analyzed qualitative data using quantitative analysis. Concerns voiced by agricultural sectors were analyzed utilizing the frequencies of words used. The study utilized the frequency of the words was TF-IDF or Term Frequency – Inverse Document Frequency to analyze agricultural word concerns. This schema was used as a numeric measure to show the importance of using words to voice out their concerns. The next step is the determination of word patterns using association rule Association Rule Mining. The result reveals the prevalent words used to express concern by the agriculture sector are "cash" and "seed" and "assist" + "cash" is the most frequent word pattern. The word "cash," the most commonly used word used by the agriculture sector to air their concern, reveals that this sector needs cash assistance to finance their agricultural activities. The result of this study can be utilized to address concerns in the agriculture sector. Furthermore, this research can be utilized in other sectors to analyze their concerns and provide necessary interventions.
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Qu, Jian Hua, Xin Sheng Yao, and Ji Lai Ying. "Agricultural Products Logistics Operational Pattern Based on Information Center." Advanced Materials Research 361-363 (October 2011): 1679–83. http://dx.doi.org/10.4028/www.scientific.net/amr.361-363.1679.
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Analyzing the typical management pattern of agricultural produce logistics, this paper discovered that the dominant of the pattern and got more profit because of the information fully. In view of this status quo, the agricultural products logistics management pattern based on information center was built. The advantages of the pattern were explained. The pattern was demonstrated by the orange logistics management pattern based on information share,the result showed that the pattern is effective and practicable.
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ASMAWATI, ASMAWATI, MURSIDAH MURSIDAH, and SYARIFAH AIDA. "PENENTUAN POLA PRODUKSI MEMINIMALISASI BIAYA PADA USAHA PENGOLAHAN DODOL BANDOL DI KECAMATAN SAMBUTAN KOTA SAMARINDA (The Determination of Production Pattern to Minimize Cost at Processing Business of Dodol Bandol in Sambutan Subcity, Samarinda City)." JURNAL AGRIBISNIS DAN KOMUNIKASI PERTANIAN (Journal of Agribusiness and Agricultural Communication) 3, no. 1 (December 21, 2019): 1. http://dx.doi.org/10.35941/jakp.3.1.2020.2985.1-8.
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Processing business of dodol Bandol is an agroindustry which processes raw materials from agricultural products. The different of production patterns will cause the different of production cost. The purposes of this research were to know the production patterns of dodol Bandol, incremental costs of every production pattern of dodol Bandol, the minimum production cost of dodol Bandol. Methods of data analysis were descriptive and quantitative. Incremental cost was calculated for every production pattern and then it was determined the production pattern with minimum cost. Production pattern that used is a bumpy production pattern. Incremental costs of every production patterns were constant production pattern of IDR583,120.00, bumpy production pattern of IDR117,000.00, and moderat production pattern of IDR357,560.00. The right production pattern that could be applied on processing of dodol Bandol is bumpy production pattern because it has the lowest incremental cost among the third production patterns.
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Sumarwono, Kristiyo, S. Sukardi, and S. Soenarto. "The effectiveness of agrobusiness technical training and education model for the field agricultural extension officers." Jurnal Pendidikan Vokasi 7, no. 2 (July 20, 2017): 214. http://dx.doi.org/10.21831/jpv.v7i2.13937.
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The study was to: (1) find the most effective agrobusiness technical training and education model for the Field Agricultural Extension Officers to be implemented; and (2) to identify the knowledge level, the highest agrobusiness skills and the strongest self-confidence that might be achieved by the participants through the implemented training and education patterns. The study was conducted by means of experiment method with the regular pattern of training and education program as the control and the mentoring pattern of training and education program as the treatment. The three patterns of training and education programs served as the independent variables while the knowledge, the skills and the self-confidence served as the dependent variables. The study was conducted in three locations namely: the Institution of Agricultural Human Resources Development in the Province of Yogyakarta Special Region (Balai Pengembangan Sumber Daya Manusia Pertanian Daerah Istimewa Yogyakarta – BPSMP DIY); the Institution of Agricultural Human Resources Empowerment (Balai Pemberdayaan Sumber Daya Manusia Pertanian – BPSDMTAN Soropadan Temanggung Provinsi Jawa Tengah) in Soropadan, Temanggung, the Province of Central Java; and the Institution of Training and Education in Semarang, the Province of Central Java (Badan Pendidikan dan Pelatihan Semarang Provinsi Jawa Tengah). The study was conducted to all of the participants who attended the agrobusiness technical training and education program and, therefore, all of the participants became the subjects of the study. The study was conducted from October 2013 until March 2014. The results of the study showed that: (1) there had not been any significant difference on the knowledge and the skills of the participants who attended the regular pattern in training and education programs and those who attended the mentoring pattern in training and education programs; (2) the regular pattern in training and education programs and the mentoring pattern in training and education programs had significant difference on the field agricultural extension officers’ self-confidence (t count = - 2.28; p = 0.03) and (t count = - 2.41; p = 0.02); and (3) the mentoring pattern in training and education programs showed very significant difference on the agrobusiness skills (t count = - 4.94; p = 0.00). The mentoring pattern in training and education programs showed significant changes in improving the field agricultural extension officers’ skills and confidence for about 9.43% and 7.75% respectively in implementing the agrobusiness activities compared to the other patterns of training and education programs.
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T. Jeyanthi and A. Kannan. "ANALYSIS OF GROWTH AND CROPPING PATTERN CHANGES OF INDIAN AGRICULTURE SINCE INDEPENDENCE: CRITICAL ACCOUNT ON THE SUSTAINABLE DEVELOPMENT PERSPECTIVES." International Journal of Social Science & Economic Research 09, no. 03 (2024): 650–74. http://dx.doi.org/10.46609/ijsser.2024.v09i03.002.
Full textAbstract:
Agriculture, land use and food security are at the main subject of the debates in the 2015 development goals and targets. However, hunger and food insecurity remain major development priorities in the recent decades. Nevertheless, the existing agriculture, changes in land use patterns and food systems are critical to sustaining poor people’s life and livelihoods. The 2015 Sustainable Development goals and agendas need to support for more productive, environmentally sustainable and resilient while safeguarding and augmenting life and livelihood of the mass through agricultural sustainability. With this background, the present research paper attempted to analyze, the trend of the agricultural sector in terms of growth rates of area production, quantity production, yield of selected crops and its share to national income towards achieving food security towards zero hunger over the last seven decades since its Independence in India and examine the relative contribution of area yield, output changes in relation to other related variable like rainfall, fertilizers and land use pattern in India. The study findings indicate a notable trend in the agricultural sector: the proportion of agricultural imports within the realm of agricultural commodities saw a steady rise, climbing from 2.79 percent to 5.07 percent spanning the years from 1990-91 to 2021-22. Conversely, the proportion of agricultural commodity exports relative to the overall national export share experienced a gradual decline, diminishing from 18.47 percent to 11.94 percent over the same period. Moreover, data reveals significant growth in key agricultural metrics. The total cultivated area for food grain production expanded substantially, surging from 97.32 million hectares in 1950-51 to 129.34 million hectares by 2020-21. Concurrently, the quantity of food grain produced exhibited remarkable
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Jiao, Zejia. "China-ASEAN Agricultural Product Trade and Its Impact." Lecture Notes in Education Psychology and Public Media 24, no. 1 (November 20, 2023): 57–63. http://dx.doi.org/10.54254/2753-7048/24/20230561.
Full textAbstract:
With the establishment of the China-ASEAN (Association of Southeast Asian Nations) Free Trade Area, a worlds largest consumer market is forming which includes over 2 billion people. According to the Early Harvest program, the terms of trade of agricultural products bilateral have been improving and the volume has increased significantly, overall presents a strong resource-market pattern of mutual benefit and complementarity. This paper describes the present situation of China-ASEAN trade pattern of agricultural products, meanwhile points out the complementary and competitive relationship of agricultural products trade and the problems exist as well as the countermeasures. This is quite significant for China to improve its agriculture competitive in the region and even in the world. This paper uses the comparative advantage theory analysis method. Although the establishment of the comprehensive strategic partnership needs more efforts and cooperation from both sides, agricultural trade is one of the important concrete actions for laying the foundation for prosperity and peace of bilateral relations.
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Sedighkia, Mahdi, and Bithin Datta. "Mitigating Nitrate Concentration Using an Optimal Cropping Pattern Developed by Linking a Soil and Water Assessment Tool with Evolutionary Optimization." Applied Sciences 13, no. 24 (December 12, 2023): 13183. http://dx.doi.org/10.3390/app132413183.
Full textAbstract:
The unplanned development of agricultural land and urban areas poses threats to water quality, which can lead to the death of the aquatic species in rivers. The present study developed a novel framework by combining a soil and water assessment tool (SWAT) and evolutionary algorithms to optimize the cultivation pattern at the catchment scale in the Tajan River basin, with the aim of mitigating the environmental impacts of surface runoff from farms. This river basin is located in northern Iran, where quick agricultural development is one of the environmental challenges. We utilized a SWAT to simulate the nitrate concentrations for different crops at the river basin scale by applying the Nash–Sutcliffe model efficiency coefficient (NSE) as a measurement index. Then, a novel model was developed to optimize the cultivation pattern by applying different metaheuristic algorithms. Fuzzy technique for order of preference by similarity to ideal solution (TOPSIS) was applied as a decision-making system to select the best optimization algorithm. The results demonstrated that using a SWAT in the optimization model structure is a robust method for the design of an optimal cultivation pattern. The Nash–Sutcliffe model efficiency coefficient (NSE) was 0.74, demonstrating the robust predictive skills of the water quality model. The decision-making system indicated that particle swarm optimization and shuffled complex evolution were the best evolutionary algorithms to optimize the cultivation pattern using the proposed method. The proposed method opens a new window regarding the optimization of cultivation patterns in agriculture and provides an environmental-based optimization to design cultivation patterns on the catchment scale.