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Journal articles on the topic 'Agricultural systems'

Author: Grafiati

Published: 4 June 2021

Last updated: 29 July 2024

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1

Adamowicz, Mieczysław. "CHANGES IN AGRICULTURAL POLICY SYSTEMS AND FORMS OF AGRICULTURAL SUPPORT." Annals of the Polish Association of Agricultural and Agribusiness Economists XIX, no. 3 (August 22, 2017): 11–17. http://dx.doi.org/10.5604/01.3001.0010.3208.

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The paper aimed to present the role of agriculture in the economy in OECD countries and changes in their agricultural policies. The aim of the work is an assessment of agriculture in the period 1995-2014 and changes in the level and structure of support by governments and their institutions to agriculture within the agricultural policy systems. The parspective for agricultual policy till 2020 was presented as well. The data and informations for the work was gathered foom literature, OECD publications, especially OECD Agricultural Policy Monitoring and Evaluation Report 2015. Evaluation of GDP, TSE, PSE, CSE and GSSE were presented for specific group of countries.

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2

Basso, Bruno, and John Antle. "Digital agriculture to design sustainable agricultural systems." Nature Sustainability 3, no. 4 (April 2020): 254–56. http://dx.doi.org/10.1038/s41893-020-0510-0.

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3

Zhang, Mengke, and Shubo Wang. "Agricultural Unmanned Systems: Empowering Agriculture with Automation." Agronomy 14, no. 6 (June 2, 2024): 1203. http://dx.doi.org/10.3390/agronomy14061203.

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4

Hendrickson, J. R., M. A. Liebig, and G. F. Sassenrath. "Environment and integrated agricultural systems." Renewable Agriculture and Food Systems 23, no. 04 (September 19, 2008): 304–13. http://dx.doi.org/10.1017/s1742170508002329.

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AbstractModern agriculture has done an excellent job producing food, feed and fiber for the world's growing population, but there are concerns regarding its continued ability to do so, especially with the world's limited resources. To adapt to these challenges, future agricultural systems will need to be diverse, complex and integrated. Integrated agricultural systems have many of these properties, but how they are shaped by the environment and how they shape the environment is still unclear. In this paper, we used commonly available county-level data and literature review to answer two basic questions. First, are there environmental limitations to the adoption of integrated agricultural systems? Second, do integrated agricultural systems have a lower environmental impact than more specialized systems? We focused on the Great Plains to answer these questions. Because of a lack of farm-level data, we used county-level surrogate indicators. The indicators selected were percent land base in pasture and crop diversity along a precipitation gradient in North Dakota, South Dakota, Nebraska and Kansas. Evaluated over the four-state region, neither indicator had a strong relationship with precipitation. In the Dakotas, both percent pasture land and crop diversity suggested greater potential for agricultural integration at the mid-point of the precipitation gradient, but there was no clear trend for Kansas and Nebraska. Integrated agricultural systems have potential to reduce the impact of agriculture on the environment despite concerns with nutrient management. Despite advantages, current adoption of integrated agricultural systems appears to be limited. Future integrated agricultural systems need to work with environmental limitations rather than overcoming them and be capable of enhancing environmental quality.

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5

Cox, W. J. "Sustainable Agricultural Systems." Journal of Environmental Quality 20, no. 3 (July 1991): 703. http://dx.doi.org/10.2134/jeq1991.00472425002000030035x.

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6

Trudgill, Stephen. "Sustainable agricultural systems." Applied Geography 11, no. 1 (January 1991): 85. http://dx.doi.org/10.1016/0143-6228(91)90010-7.

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7

Nasritdinov, A., Jahongir Qosimov, Umida Nasritdinova, Unarbek Edilboyev, and M. Hayitova. "PARALLEL DRIVING SYSTEMS FOR AGRICULTURAL MACHINERY." JOURNAL OF AGRO PROCESSING 5, no. 1 (May 30, 2019): 18–25. http://dx.doi.org/10.26739/2181-9904-2019-5-4.

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8

MIHALACHE, DUMITRU BOGDAN, N. A. VANGHELE, A. A. PETRE, and MARIUS NICOLAE CIOBOATA. "INTELIGENT SYSTEMS USED IN MODERN AGRICULTURE." "Annals of the University of Craiova - Agriculture Montanology Cadastre Series " 51, no. 2 (December 20, 2020): 367–72. http://dx.doi.org/10.52846/aamc.2021.02.44.

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Digital agriculture is the perfect integration of digital technologies in crop and animal management and other agricultural processes. For farmers, digital farming offers the opportunity to increase production, save long-term costs and eliminate risk. Agricultural researchers see it as a data collection tool that has the ability to simplify data collection and analysis, improving predictive skills when it comes to crop management, animal behavior and production. A digital agricultural system is a database that includes not only different types of data relevant to agriculture, from soil conditions to market assessment, but also optimal decision-making functions that help to take the best measures in a series of processes. The paper presents a brief summary of new technologies in agriculture.

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Litvinov, M. A., and A. A. Kuprin. "Application of unmanned air systems in agriculture." Sel'skohozjajstvennaja tehnika: obsluzhivanie i remont (Agricultural Machinery: Service and Repair), no. 6 (June 20, 2023): 28–35. http://dx.doi.org/10.33920/sel-10-2306-03.

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The purpose of this article is to consider the use of unmanned aerial systems (UAS) in agriculture. UAVs have great potential in many agricultural tasks. This article summarizes the current state of drone technology and its applications in agriculture, including plant health monitoring, weed control, spraying, and other agricultural operations.

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10

Martínez-Castillo, Róger. "Sustainable agricultural production systems." Revista Tecnología en Marcha 29, no. 5 (April 6, 2016): 70. http://dx.doi.org/10.18845/tm.v29i5.2518.

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<p class="p1">Sustainable development is based on ethical principles such as respect for and harmony with nature, political values such as participative democracy and social equity, and moral norms such as environmental rationality. Sustainable development is egalitarian, neutral, and self-managed, able to satisfy the basic needs of people, respecting cultural diversity, and improving the quality of life. The concepts of agriculture and sustainable development refer to the need of minimizing degradation of fertile land, while working to increase production. They include agricultural activities such as soil and water management, crop management, and the conservation of biodiversity, taking into account the provision of food and raw materials. Sustainability of agricultural production systems refers to the capacity of the system to maintain its productivity in spite of economic and natural, external or internal limitations. Sustainability is a function of the natural features of a system and the pressures and interventions it experiences, as well as social, economic, and technical interventions that are carried out in order to fight negative pressures, highlighting the resiliency of the system. </p>

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11

Ferreira, Lusiane de Sousa, Vinicius de Souza Oliveira, Johnatan Jair de Paula Marchiori, Matheus de Paula Gomes, Tatiane Cristovam Ferreira, Fernanda Nery Vargens, Evellyn Zuqui Bolsoni, Eduarda Carriço, and Anderson Mathias Holtz. "Soil Fertility Indicators in Crop-Livestock-Forest Integration Systems." International Journal of Plant & Soil Science 35, no. 20 (October 7, 2023): 1093–104. http://dx.doi.org/10.9734/ijpss/2023/v35i203906.

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Aiming at agricultural production in a sustainable, satisfactory manner and with less impact on the environment, cultivation systems such as crop-livestock integration, crop-livestock-forest integration, direct planting systems and agroforestry have been adopted. Crop-Livestock-Forest Integration Systems allow the increase in agricultural production without the need to convert new areas to agriculture, increasing the diversification of agricultural production on rural properties and applying different scales of agricultural enterprises. Thus, crop-livestock-forest integration systems are an important alternative for the sustainable expansion of Brazilian agriculture, reducing negative environmental impacts.

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12

Fu, Xueqian, Yazhong Zhou, Feifei Yang, Lingxi Ma, Hai Long, Yujie Zhong, and Peng Ni. "A Review of Key Technologies and Trends in the Development of Integrated Heating and Power Systems in Agriculture." Entropy 23, no. 2 (February 23, 2021): 260. http://dx.doi.org/10.3390/e23020260.

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Petroleum agriculture, characterized by mechanization and chemistry, is developing rapidly in China. However, petroleum agriculture has not only brought food safety problems, but also caused great obstacles to the sustainable development of society. In view of the disadvantages of oil agriculture, we provide an upgrading plan for energy systems in agriculture. This work can help reduce carbon emissions and improve food security. We introduce the most advanced technologies in Chinese agricultural development and the technical scope includes new agricultural energy power generation, agricultural energy use and the safe operation of agricultural energy systems. We describe the detailed data of agricultural bioenvironmental and energy engineering to clarify the level of agricultural energy efficiency in China. The overall conclusion of this paper is that the deep integration of agriculture and energy internet has become the development trend of agricultural energy systems.

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13

Hanuš, Ladislav. "Sustainability analysis of agricultural systems." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 52, no. 1 (2004): 103–12. http://dx.doi.org/10.11118/actaun200452010103.

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The main aim of this research is to propose an evaluation method as a tool for measurement of sustainable development in agriculture. The research has three parts: 1) indication, 2) evaluation and 3) application. Three aggregate and a group of partial indicators were selected for ecological, economic and social dimension of agricultural system. As the aggregate indicators were proposed: Material and Energy Costs, Operating Income and Personal Costs. Two evaluation methods for calculation of relative sustainability for group of farms were proposed: The Method of Comparison of Indicator Values and The Method of Comparison of Weighted Interval Sustainability. Each method was tested in static and dynamic variant with using of financial data of 30 farms in the CR. Proposed Index of Weighted Interval Sustainability is applicable in farm management and in agricultural policy with aim to redistribute subsidies.

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14

Anderson, Jock R., and John L. Dillon. "International Agricultural Research Systems." Agricultural Economics 3, no. 4 (December 1989): 257–60. http://dx.doi.org/10.1111/j.1574-0862.1989.tb00089.x.

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15

FKIRIN, M. A., and I. A. AL-TURKI. "FORECASTING AGRICULTURAL ECONOMIC SYSTEMS." Cybernetics and Systems 22, no. 1 (January 1991): 17–24. http://dx.doi.org/10.1080/01969729108902268.

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16

Anderson, J. "International agricultural research systems." Agricultural Economics 3, no. 4 (December 1989): 257–60. http://dx.doi.org/10.1016/0169-5150(89)90001-7.

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17

Hatfield, Jerry L., John Antle, Karen A. Garrett, Roberto Cesar Izaurralde, Terry Mader, Elizabeth Marshall, Mark Nearing, G. Philip Robertson, and Lewis Ziska. "Indicators of climate change in agricultural systems." Climatic Change 163, no. 4 (June 6, 2018): 1719–32. http://dx.doi.org/10.1007/s10584-018-2222-2.

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AbstractClimate change affects all segments of the agricultural enterprise, and there is mounting evidence that the continuing warming trend with shifting seasonality and intensity in precipitation will increase the vulnerability of agricultural systems. Agricultural is a complex system within the USA encompassing a large number of crops and livestock systems, and development of indicators to provide a signal of the impact of climate change on these different systems would be beneficial to the development of strategies for effective adaptation practices. A series of indicators were assembled to determine their potential for assessing agricultural response to climate change in the near term and long term and those with immediate capability of being implemented and those requiring more development. The available literature reveals indicators on livestock related to heat stress, soil erosion related to changes in precipitation, soil carbon changes in response to increasing carbon dioxide and soil management practices, economic response to climate change in agricultural production, and crop progress and productivity. Crop progress and productivity changes are readily observed data with a historical record for some crops extending back to the mid-1800s. This length of historical record coupled with the county-level observations from each state where a crop is grown and emerging pest populations provides a detailed set of observations to assess the impact of a changing climate on agriculture. Continued refinement of tools to assess climate impacts on agriculture will provide guidance on strategies to adapt to climate change.

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18

Vapa Tankosić, Jelena, Borjana Mirjanić, Radivoj Prodanović, Snežana Lekić, and Biljana Carić. "Digitalization in Agricultural Sector: Agriculture 4.0 for Sustainable Agriculture." Journal of Agronomy, Technology and Engineering Management (JATEM) 7, no. 1 (March 20, 2024): 1036–42. http://dx.doi.org/10.55817/geqw8736.

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Sustainable and resilient systems within the food industry play a key role in global growth and development. In recent years, negative effects such as drought caused by climate change, destructive natural disasters, and destruction of biodiversity and natural resource erosion, agricultural migration, aging agricultural population, and global epidemics have deepened the environmental concerns. Apart from the negative effects on the food supply, pressure on the demand side is created by the growing population, which makes it necessary to create a new agrarian policy. Technological development has affected agriculture and agricultural production systems. One of the most prominent approaches is the integration of a new generation of digital technologies into the agricultural system, ensuring maximum benefit from information and data. Digitalization and the use of digital data have fundamentally transformed the agro-food system. The aim of this paper is present in a systematic view the agricultural digital transformation in the Agriculture 4.0, in the framework of sustainable development of agriculture. The aforementioned imposes sustainable agriculture by adequate agricultural policy instruments.

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19

Paul, P. K., and R. R. Sinha. "Internet of Things (IoT) and Smart Agriculture: With Reference to Applications and Emerging Concern." Asian Journal of Electrical Sciences 9, no. 1 (May 5, 2020): 37–44. http://dx.doi.org/10.51983/ajes-2020.9.1.2370.

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Agricultural Informatics is one of the important emerging domains gaining popularity in recent years. This is simply the application of Information Technology and Computing in Agriculture and allied activities. This is also the combination of ‘Agricultural Science’ and ‘Informatics or Information Science’. This emerging as an interdisciplinary subject and provides solutions for the smarter agriculture and advancement of the agricultural sectors. It is connected with various kinds of information and technological tools. In the recent past, various IT components have emerged and all these are responsible for the agricultural activities leading to cultivation; its enhancement, productivity, quality, cleanliness, efficiency, post agricultural activities. The Agricultural Informatics is responsible for the design, development, management and implementation of the advanced and intelligent agricultural systems, that may call as ‘Smart Agriculture’ or it may be called as ‘Digital Agriculture’. For the creation of such agricultural systems, various emerging Information Technological tools and technologies are emerging and among these important are Cloud Computing, Big Data, Internet of Things (IoT), Robotics & Artificial Intelligence, Human Computer Interaction, etc. Internet of Things (IoT) is applicable in designing and development of healthy and intelligent information systems that are connected with the internet and similar systems. IoT is responsible for various kinds of Agricultural development activities. This paper is conceptual in nature and deals with a brief overview on Agricultural Informatics including evolution, features and role and importance in the concentration of its applications in the creation of ‘Smart Agriculture’ and also emphasized how IoT and similar systems are helpful in promotion of Agricultural activities, intelligent and smarter way. Paper also highlighted about the issues, challenges and concerns on Agricultural Informatics with special reference to its IoT applications in Agriculture towards the promotion of Smart Agriculture.

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20

Krechetnikova, E. O., V. V. Krechetnikov, I. E. Titov, and V. K. Kuznetsov. "Geoinformation system for designing adaptive landscape farming systems on the radioactively contaminated territory of the Tula research institute of agriculture." Geoinformatika, no. 4 (2020): 12–19. http://dx.doi.org/10.47148/1609-364x-2020-4-12-19.

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GIS project was developed for the radioactively contaminated territory of the Tulskii NII. It was created in order to project the adaptive landscape agricultures. It was based on the information on the concentrations of 137Cs radionuclide in soil, compiled over 16 years. Electronic maps have been developed to create a GIS project and included the location of agricultural lands; crop rotation systems; distribution of specific activity values for artificial 137Cs radionuclide in agricultural lands; agrochemical indexes (the humus content, potassium content, contribution of phosphorus, the acidity), soil types, relief. The created GIS project and the corresponding data bases will be used to collect, store and analyse the results of the survey in order to project the adaptive landscape agricultures. Key words: GIS project, adaptive landscape agriculture, agricultural lands, radiation safety.

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21

Walsingham, J. M. "Agriculture and environment: The physical geography of temperate agricultural systems." Agricultural Systems 22, no. 3 (1986): 255–56. http://dx.doi.org/10.1016/0308-521x(86)90129-0.

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22

Koohafkan, Parviz, Miguel A. Altieri, and Eric Holt Gimenez. "Green Agriculture: foundations for biodiverse, resilient and productive agricultural systems." International Journal of Agricultural Sustainability 10, no. 1 (November 17, 2011): 61–75. http://dx.doi.org/10.1080/14735903.2011.610206.

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23

Bhatt, Chandradeep. "IoT-based Smart Farming Systems: Techniques, Challenges, and Applications." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 11, no. 3 (December 15, 2020): 1957–65. http://dx.doi.org/10.17762/turcomat.v11i3.13592.

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The ability of IoT-based smart farming systems to increase crop yields, decrease waste, and increase sustainability is causing them to gain popularity in the agricultural sector. The methods utilized in IoT-based smart farming systems, the difficulties involved in putting them into practice, and successful applications in agriculture are all covered in this research paper's summary. The report also examines new developments in IoT-based smart farming technology and their prospective effects on the agricultural sector. IoT-based smart agricultural systems have many advantages, but they also have drawbacks in terms of cost, technical know-how, connectivity, data privacy, and security. This study explores the advantages and difficulties of IoT-based smart agricultural systems and emphasizes the necessity of cooperation between farmers, technology companies, and governments to meet these difficulties. IoT-based smart agricultural systems appear to have a bright future, but further study is required to fully realize their potential in agriculture.

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24

Semenenko, Yurii. "The role of tender systems in agricultural enterprise activities." Economic Analysis, no. 34(1) (2024): 96–104. http://dx.doi.org/10.35774/econa2024.01.096.

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The study of the role of tender systems in the activities of agricultural enterprises intersects two key areas of interest: economics and agriculture. This important research helps understand how agricultural enterprises conduct procurement, which is a vital aspect of their operations. Understanding the processes of tender procurement will shed light on the factors influencing supplier selection, cost optimization, and how to improve the competitiveness of agricultural enterprises. From a practical perspective, such research provides an opportunity to enhance procurement management processes in the agricultural sector. It can contribute to the development of effective strategies and tools aimed at ensuring the quality of products and services at optimal prices. Additionally, studying tender systems allows for identifying challenges in the procurement process and seeking ways to address them. Research Objective: The aim of the study is to analyze the impact of software tools for conducting tender procurements on the activities of agricultural enterprises. Research Methods: The research is based on a comprehensive approach, utilizing both quantitative and qualitative analysis methods, including statistical analysis and systems analysis methods to analyze the interrelationships between different types of tender systems. Results: The results of the study on the role of tender systems in the activities of agricultural enterprises indicate their significance and wide-ranging impact on business. Various types of procurement, including the procurement of raw materials, equipment, services, and other resources used in agriculture, have been thoroughly examined. It has been found that the diversity of tender procedures enables agricultural enterprises to effectively select suppliers and optimize procurement costs. Additionally, the study examines a software model aimed at automating the processes of managing tender procurements for agricultural enterprises. This software tool assists enterprises in effectively managing all stages of tender procedures, including planning, document preparation, proposal evaluation, contract management, and reporting. The mentioned software model takes into account the specificity of agriculture and the needs of agricultural enterprises, providing them with an effective tool for managing tender procedures. This allows enterprises to make the procurement process more transparent, efficient, and compliant with modern management standards. Such an approach contributes to enhancing the competitiveness of agricultural enterprises and their stable development in the contemporary market environment.

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Kaleem Ullah, Muhammad, and Sana Shabir. "The Significant Effects of Agricultural Systems on The Environment." Journal of World Science 2, no. 6 (June 15, 2023): 798–805. http://dx.doi.org/10.58344/jws.v2i6.291.

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The sustainability of our world and the ecological balance are significantly shaped by agricultural systems. The main environmental implications of agricultural practices are highlighted in this research with an emphasis on both the detrimental effects and proposed remedies to lessen these effects. By supplying food, fiber, and different raw materials, agricultural systems are essential for maintaining human populations. These systems, though, have the potential to have a significant negative or positive impact on the environment. An overview of the main environmental impacts of agricultural systems is given in this research First, agricultural systems play a significant role in the production of greenhouse gases. The release of carbon dioxide (CO2), methane (CH4), and element oxide (N2O), all of which are powerful greenhouse gases that contribute to climate change, is influenced using synthetic fertilizers, intensive livestock production, and changes in land use. Second, agricultural practices have an impact on water resources. The overuse of irrigation water can cause groundwater aquifers to be depleted and rivers and lakes to dry up. Additionally, the fertilizer and pesticide-contaminated runoff from agricultural fields can contaminate water sources, leading to eutrophication and harming aquatic ecosystems. Adopting sustainable agricultural practices is necessary to meet rising food demands while reducing adverse effects. These methods include organic farming, agroforestry, precision agriculture, and improved water management strategies. By putting such practices into practice, one can encourage a more resilient and sustainable food production system while also reducing the negative environmental effects of agriculture.

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Liang, Li, Fan Zhang, and Keyu Qin. "Assessing the Vulnerability of Agricultural Systems to Drought in Kyrgyzstan." Water 13, no. 21 (November 4, 2021): 3117. http://dx.doi.org/10.3390/w13213117.

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As climate change worsens, the frequent occurrence of extreme drought events will further threaten the agricultural systems of all countries in the world. Kyrgyzstan is a country with agriculture and animal husbandry as its main industries, with a weak industrial base, and agriculture plays an important role in the national economy. Kyrgyzstan is located in Central Asia and suffers from a dry climate and frequent droughts. Thus, an integral analysis of the vulnerability of Kyrgyzstan’s agricultural system is of great significance for this country’s socio-economic stability. In this study, we comprehensively analyze the agricultural system drought vulnerability of Kyrgyzstan from three dimensions of sensitivity, adaptability and exposure. The results show that the areas of higher vulnerability in Kyrgyzstan’s agricultural system are distributed in the eastern mountainous, northwest and southwest areas. In addition, regions with low vulnerability are mainly concentrated in the central area. Kyrgyzstan has abundant water resources, but the supporting infrastructure construction is relatively backward. The imperfect irrigation facilities have greatly restricted the development of agriculture and have also increased the vulnerability of the agricultural systems. In the face of climate change, the region may face more severe drought disasters, so increasing infrastructure investment and building a complete irrigation system and water use plan are the keys to reducing the vulnerability of Kyrgyzstan’s agricultural system.

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Avşar, Dilehan, and Gökhan Avşar. "Robotic Flight Systems and Applications." Academic Perspective Procedia 1, no. 1 (November 9, 2018): 216–22. http://dx.doi.org/10.33793/acperpro.01.01.42.

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Drone technology is becoming more and more popular in our lives. Drone technology; industry, art, agricultural production, and many other areas are heavily used. With the system called Agricultural Unmanned Aerial Vehicle (DRONE), at least 10 percent efficiency is expected to be achieved every year in agricultural land. In practice, agricultural lands are examined and the places where intervention is needed for soil health are determined. With the multispectral camera on it, the appearance of the land is examined and a soil map is taken and it is determined that the area of 100 hectares is photographed in 30 minutes. As a result, soil structure is analyzed, chlorophyll map is created, plant health is examined and weeds are detected. Irrigation is also checked for difficulty. After the work, it is ensured that the producer can benefit from the soil in the most efficient way. In this study, you will be informed about the types of drone types used for agricultural purposes, whether you need to register a drone owner's vehicle, selected applications and what you can see in the images. with the help of a detailed literature, those experienced in different countries and in particular for agriculture to be evaluated will be determined case for Turkey.

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Boopathi, P. "The Application of Solar Energy in Agricultural Systems." International Journal of Trend in Scientific Research and Development Volume-3, Issue-1 (December 31, 2018): 553–57. http://dx.doi.org/10.31142/ijtsrd19019.

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Neeta Maitre, Et al. "Use of Cryptocurrencies and Intelligent Systems in Agriculture." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9 (November 5, 2023): 2328–31. http://dx.doi.org/10.17762/ijritcc.v11i9.9240.

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The digital transformation is remarkably advanced due to the decentralized way of digital transactions using cryptography. The term coined is “Cryptocurrency” and has triggered the world in the fastest pace. The intelligent systems promptly complement it. The use of cryptocurrency is majorly seen in NFT (Non Fungible Token) domains and universally addressed through the digital wallets and websites. Like every other domain, agriculture and agricultural products can also be seen as a major sector to be acquired by the new age technology of cryptocurrencies. The field thus is accompanied by intelligent systems such as the use of artificial intelligence(AI) , Internet of things(IoT) in computer systems. The agricultural domain and its technological progress can be witnessed through the adoption of precision agriculture in various countries. This research paper focuses on the intelligent perspective of the agricultural field and also dives through the sustainability achievement by the same. The paper concludes with the discussion on sustainable agriculture as a new paradigm.

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Wan, Xue-fen, Tao Zheng, Jian Cui, Fan Zhang, Zi-qian Ma, and Yi Yang. "Near Field Communication-based Agricultural Management Service Systems for Family Farms." Sensors 19, no. 20 (October 11, 2019): 4406. http://dx.doi.org/10.3390/s19204406.

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This paper presents an agricultural management service system that aims to meet the needs of Internet of Things (IoT) information upgrades in China’s family farms. The proposed agricultural management service system consists of Near Field Communication (NFC) tags, in-field service nodes, and smartphones. NFC tags are used as the core identifier of various agricultural management elements. The in-field service node, which is based on a programmable system-on-chip with intellectual property cores (IP core), supports distributed agriculture device management and smartphone operations. Smartphones in the proposed system include the management assistant application (app) and management service app, which are designed for agricultural management support functions and agricultural management application requirements. Through this system, the needs of diverse agricultural management practices can be effectively satisfied by a unified system structure. The practical results show that the design can be used to construct diversified agricultural IoT information application service systems simply and effectively, and it is especially suitable for Chinese family farm operators who are implementing IoT information upgrades for smart agriculture.

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Jensen, Erik S., Iman R. Chongtham, Nawa R. Dhamala, Carolina Rodriguez, Nicolas Carton, and Georg Carlsson. "Diversifying European agricultural systems by intercropping." International Journal of Agriculture and Natural Resources 47, no. 3 (December 2020): 174–86. http://dx.doi.org/10.7764/ijanr.v47i3.2241.

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Cropping system diversification is a key factor in developing more sustainable cropping and food systems. The agroecological practice of intercropping, meaning the simultaneous cultivation of two or more species in the same field, has recently gained renewed interest as a means of ecological intensification in European agricultural research. We discuss some recent research developments regarding 1) intercropping for ecological intensification in agroecological and conventional cropping systems, 2) studies on nitrogen resource use by cereal-grain legume intercropping cultivation, 3) the role of intercropping in the management of biotic stressors, especially weeds, and 4) intercropping as a means of creating cropping systems that are more resilient to the abiotic and biotic stress associated with climate change. Finally, we propose methods for the greater adoption of intercropping in European agriculture by unlocking farming systems from upstream and downstream barriers, with the aim of developing more sustainable agricultural and food systems.

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Sun, Cheng, and Yunbiao Li. "The Development History and Trend of International Agricultural Economics." Research on World Agricultural Economy 1, no. 1 (October 21, 2020): 1. http://dx.doi.org/10.36956/rwae.v1i1.161.

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Agricultural economics is a science that studies the relations of production and the laws of productivity in agriculture. International agricultural economics is to study the agricultural production relations and the laws of productivity in different regions of the world, countries with different systems, and different historical stages, especially the history and future development trends of agricultural economic development under different social systems in the East and the West, in order to learn from each other. The development of agricultural economic theory and practical experience, promote the integration of global agricultural economy, improve the status quo of global chemical agriculture, develop global modern ecological agriculture, ensure global food and food safety, and improve the health of human life.

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Jongebreur, A. A., and L. Speelman. "Future trends in agricultural engineering." Netherlands Journal of Agricultural Science 45, no. 1 (July 1, 1997): 3–14. http://dx.doi.org/10.18174/njas.v45i1.522.

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Beside traditional mechanical engineering, other engineering branches such as electronics, control engineering and physics play their specific role within the agricultural engineering field. Agricultural engineering has affected and stimulated major changes in agriculture. In the last decades agricultural engineering has also focused on environmental aspects. Nowadays knowledge and expertise generated in several agricultural and environmental engineering fields must be integrated with expertise of biological and socio-economic sciences. In the evolution towards sustainable agricultural systems important contributions can be made. The re-design of production systems and their technology can help to achieve ecologically sound and economically viable agriculture and its acceptance in the community. Mechanization and automation, structures and environment, labour and management, and energy and water are discussed.

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Buttel, Frederick H., Gilbert W. Gillespie, Rhonda Janke, Brian Caldwell, and Marianne Sarrantonio. "Reduced-input agricultural systems: Rationale and prospects." American Journal of Alternative Agriculture 1, no. 2 (1986): 58–64. http://dx.doi.org/10.1017/s0889189300000898.

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AbstractIn many respects the long standing and vigorous debates over alternative agriculture and organic farming are becoming less strident and less polarized. However, despite the mounting evidence that key elements of both the conventional and alternative agricultural communities are beginning to “build bridges” to each other, and to establish formal institutional programs and arrangements for improved communication and program development, important differences continue to separate the proponents and opponents of alternative agriculture. In part, these lingering differences result from the lack of adequate and reliable data, misinformation, and faulty data analyses. In order to clarify those issues which continue to divide the critics and advocates of alternative agriculture, this reappraisal of the debate begins with a methodological critique of comparison studies of conventional and organic farms. Also included is an assessment of fertilizer and pesticide use in American agriculture, the environmental impacts of conventional and reduced-input systems, the relationship between alternative agriculture and efforts to save the family farmer, and the prospects for increased public sector research on reduced-input farming systems.

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Pinet, François, and Petraq Papajorgji. "Research in Agricultural and Environmental Information Systems." International Journal of Agricultural and Environmental Information Systems 5, no. 2 (April 2014): 1–18. http://dx.doi.org/10.4018/ijaeis.2014040101.

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Information systems relate to diverse applications, but, until recently, the use of this technology in agriculture and environment has been relatively behind the applications in the industrial sector. The publication of IJAEIS started in 2010 in order to promote the new research advances in information systems applied to agriculture and environment. This paper presents an overview of the different scientific issues presented in the 50 papers published in IJAEIS between 2010 and 2013. The authors summarize the different contributions presented in IJAEIS and the authors identify the main trends in the field of agricultural and environmental information systems (ontologies, communication systems, spatial information processing, etc.).

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Solomonson, Jay K., Trent Wells, Mark S. Hainline, Bryan D. Rank, Matthew Wilson, Skyler P. Rinker, and Steven "Boot" Chumbley. "Technical Agriculture Skills Teachers Need to Teach Courses in the Plant Systems Pathway." Journal of Agricultural Education 63, no. 3 (September 30, 2022): 100–116. http://dx.doi.org/10.5032/jae.2022.03100.

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Agricultural teacher education programs are designed to prepare competent teachers who are ready to teach students in public schools. One aspect of agricultural teacher education is ensuring teachers are ready to lead instruction in various aspects of school-based agricultural education (SBAE), such as teaching students various technical agriculture skills. As part of a larger study, we used a three-round Delphi study to identify the technical agriculture skills SBAE teachers in Illinois and Iowa need to effectively teach courses in the Plant Systems pathway within the broader Agriculture, Food, and Natural Resources (AFNR) Career Cluster. A panel of 27 experienced SBAE teachers nominated by their colleagues contributed data for our study. Eighteen teachers participated in all three rounds. At the conclusion of our Delphi study, we identified 82 technical agriculture skills. To help ensure teachers are competent and prepared to teach courses in the Plant Systems pathway, we suggest several approaches agricultural teacher educators should consider: (1) facilitating opportunities to implement technical agriculture skill development opportunities within agricultural teacher education programs, (2) engaging with agricultural faculty who teach technical agriculture courses to pre-service teachers, and (3) using our list of 82 skills as a springboard to facilitate future scholarly inquiry on the topic. While our results are not generalizable beyond the SBAE teachers in Illinois and Iowa, we do believe our findings are valuable to SBAE stakeholders. To enhance generalizability and provide a more thorough exploration of teachers’ technical agriculture skill needs, replication of our study should occur in other states.

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Fanzo, Jessica. "A Path to Sustainable Food Systems." Current History 120, no. 829 (November 1, 2021): 313–19. http://dx.doi.org/10.1525/curh.2021.120.829.313.

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Agriculture systems, which account for a sizable share of global greenhouse gas emissions, are placing a growing burden on the environment while also contributing to increasingly common health problems. Climate change is making the situation worse by reducing agricultural productivity as well as the nutritional content of certain crops, which in turn is driving intensified production to meet global food demand. To break out of this potentially catastrophic feedback loop, societies must realign agricultural policies, financial incentives, and diets to promote health and environmental sustainability.

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ZHANG, Li-Feng. "Relational discussion on agricultural productivity and agricultural systems structure." Chinese Journal of Eco-Agriculture 18, no. 4 (July 20, 2010): 880–83. http://dx.doi.org/10.3724/sp.j.1011.2010.00880.

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Poshekhonova, G. V. "Competitive Advantages of Agricultural Production of Regional Agricultural Systems." Bulletin of Chelyabinsk State University, no. 10 (2020): 100–107. http://dx.doi.org/10.47475/1994-2796-2020-11011.

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MOCHUNOVA, NATAL'YA A., MARTIK A. KARAPETYAN, and VADIM N. PRYAHIN. "STUDY OF CONTROL SYSTEMS OF AGRICULTURAL FACILITIES AGRICULTURAL PRODUCTION." International Technical and Economic Journal, no. 2 (2021): 74–82. http://dx.doi.org/10.34286/1995-4646-2021-77-2-74-82.

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Zimmer, Domagoj, Mladen Jurišić, Ivan Plaščak, Željko Barač, and Dorijan Radočaj. "Application of Robots and Robotic Systems in Agriculture." Tehnički glasnik 15, no. 3 (September 14, 2021): 435–42. http://dx.doi.org/10.31803/tg-20210128112420.

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The paper depicts agricultural robots that can perform complex tasks. Fast development and application of agricultural robotics is a result of increased development of agricultural machinery. Robots are complex and intelligent systems with a significant role in agriculture that are becoming an integral part of both the technological and scientific progress. The paper presents some important roles of robots and robotic systems in various agricultural areas and explains the deployment of new technologies supported by the examples of their application in arable farming, horticulture, and forestry. Robotics application decreases the deployment of human resources, enables significant production cost savings, and increases production capacity. The application of robotic systems facilitates high precision levels and repetition speed regarding time and space, which cannot be replicated by farmers

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E, Susendar, and Amsaveni C. "A STUDY ON AGRICULTURAL SYSTEMS." International Journal of Engineering Applied Sciences and Technology 6, no. 11 (March 1, 2022): 80–83. http://dx.doi.org/10.33564/ijeast.2022.v06i11.017.

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Agricultural systems science generates knowledge that allows researchers to consider complex problems or take informed agricultural decisions. The rich history of this science exemplifies the diversity of systems and scales over which they operate and have been studied. Modeling, an essential tool in agricultural systems science, has been accomplished by scientists from a wide range of disciplines, who have contributed concepts and tools over more than six decades. As agricultural scientists now consider the “next generation” models, data, and knowledge products needed to meet the increasingly complex systems problems faced by society, it is important to take stock of this history and its lessons to ensure that we avoid reinvention and strive to consider all dimensions of associated challenges. To this end, we summarize here the history of agricultural systems modeling and identify lessons learned that can help guide the design and development of next generation of agricultural system tools and methods. A number of past events combined with overall technological progress in other fields have strongly contributed to the evolution of agricultural system modeling, including development of processbased bio-physical models of crops and livestock, statistical models based on historical observations, and economic optimization and simulation models at household and regional to global scales. Characteristics of agricultural systems models have varied widely depending on the systems involved, their scales, and the wide range of purposes that motivated their development and use by researchers in different disciplines. Recent trends in broader collaboration across institutions, across disciplines, and between the public and private sectors suggest that the stage is set for the major advances in agricultural systems science that are needed for the next generation of models, databases, knowledge products and decision support systems. The lessons from history should be considered to help avoid roadblocks and pitfalls as the community develops this next generation of agricultural systems models.

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Wratten, S. D., M. Hofmans, S. Thomsen, P. Williams, G. Groves, C. Eason, and J. Greer. "Measuring sustainability in agricultural systems." Proceedings of the New Zealand Plant Protection Conference 50 (August 1, 1997): 514–19. http://dx.doi.org/10.30843/nzpp.1997.50.11349.

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Doyle, Ken. "Antibiotic Resistance in Agricultural Systems." CSA News 59, no. 6 (June 2014): 4–10. http://dx.doi.org/10.2134/csa2014-59-6-1.

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Hmielowski, Tracy. "Emerging contaminants in agricultural systems." CSA News 61, no. 8 (August 2016): 4–9. http://dx.doi.org/10.2134/csa2016-61-8-1.

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Pretty, Jules, and Zareen Pervez Bharucha. "Sustainable intensification in agricultural systems." Annals of Botany 114, no. 8 (October 28, 2014): 1571–96. http://dx.doi.org/10.1093/aob/mcu205.

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Neher, Deborah. "Ecological Sustainability in Agricultural Systems." Journal of Sustainable Agriculture 2, no. 3 (September 25, 1992): 51–61. http://dx.doi.org/10.1300/j064v02n03_05.

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Frinking, H. D. "Aerobiology of “closed” agricultural systems." Grana 30, no. 2 (January 1991): 481–85. http://dx.doi.org/10.1080/00173139109432014.

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TRANT, G. I. "Ethical Systems and Agricultural Policy." Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie 7, no. 1 (November 13, 2008): 75–82. http://dx.doi.org/10.1111/j.1744-7976.1959.tb01307.x.

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Hanson, Jon D., and Alan Franzluebbers. "Principles of integrated agricultural systems." Renewable Agriculture and Food Systems 23, no. 04 (October 31, 2008): 263–64. http://dx.doi.org/10.1017/s174217050800241x.

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