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Artykuły w czasopismach na temat "Water in agriculture"

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Crampton, Andrea, i Angela T. Ragusa. "Perceived agricultural runoff impact on drinking water". Journal of Water and Health 12, nr 3 (25.03.2014): 484–91. http://dx.doi.org/10.2166/wh.2014.212.

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Agricultural runoff into surface water is a problem in Australia, as it is in arguably all agriculturally active countries. While farm practices and resource management measures are employed to reduce downstream effects, they are often either technically insufficient or practically unsustainable. Therefore, consumers may still be exposed to agrichemicals whenever they turn on the tap. For rural residents surrounded by agriculture, the link between agriculture and water quality is easy to make and thus informed decisions about water consumption are possible. Urban residents, however, are removed from agricultural activity and indeed drinking water sources. Urban and rural residents were interviewed to identify perceptions of agriculture's impact on drinking water. Rural residents thought agriculture could impact their water quality and, in many cases, actively avoided it, often preferring tank to surface water sources. Urban residents generally did not perceive agriculture to pose health risks to their drinking water. Although there are more agricultural contaminants recognised in the latest Australian Drinking Water Guidelines than previously, we argue this is insufficient to enhance consumer protection. Health authorities may better serve the public by improving their proactivity and providing communities and water utilities with the capacity to effectively monitor and address agricultural runoff.
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Sun, Menglu, i Takaaki Kato. "The Effect of Urban Agriculture on Water Security: A Spatial Approach". Water 14, nr 16 (17.08.2022): 2529. http://dx.doi.org/10.3390/w14162529.

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This study aimed to examine the influence of agricultural development under urbanization on agriculture water supply internalization. Water supply internalization is the process of measuring water security to estimate the degree of water supply sustainably by region inside. According to water users, Water supply internalization could be divided into Agriculture and urban water supply internalization. Agriculture and urban water supply internalization are calculated in this study. This study employed a spatial model to analyze agricultural water supply internalization and its influencing factors. The results showed that the agriculture development associated with agricultural population and crop typology impacts agricultural water supply internalization. Urban water supply internalization increases lead to an increase in agricultural water supply internalization. The agricultural population’s spatial agglomerations lead to increased agricultural water supply internalization. Agricultural population’s spatial agglomerations mean neighborhood city agriculture population share similar trend. Agricultural and urban water supply internalization have spatial autoconnection. The study area consisted of 30 cities in four provinces in North China: Beijing, Tianjin, Hebei, and Shandong.
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Baudišová, D. "Microbial pollution of water from agriculture". Plant, Soil and Environment 55, No. 10 (21.10.2009): 429–35. http://dx.doi.org/10.17221/131/2009-pse.

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Microbial contamination of small streams in agricultural areas was monitored for two years. Microbiological indicators of faecal pollution (faecal coliforms, <I>Escherichia coli</I> and intestinal enterococci were detected by standard methods based on the cultivation of bacteria on selective media). The obtained results showed that running contamination of streams from agricultural areas was not extremely high, but it showed marked seasonal fluctuations (the average values and maximal values revealed great differences). Microbial contamination also increased several times in relation to high precipitation. The water quality in three (and/or four) localities exceeded the acceptable counts of faecal coliforms and enterococci given by the Czech legislation (40 CFU/ml for faecal coliforms and 20 CFU/ ml for enterococci). In agriculturally polluted streams, there were detected more enterococci than faecal coliforms, and also some less frequent species related to farm animals (<I>Streptococcus equines</I> and <I>S. bovis</I>) or plant rests (<I>E. mundtii, E. gallinarum, E. casseliflavus</I>) were present. <I>E. faecalis</I> and <I>E. faecium</I> strains (these are the most common species related to human faecal pollution) were less frequent there.
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Wu, Guoyong, Noman Riaz i Waseem Akram. "UTILIZATION OF AGRICULTURAL WATER AND ECONOMIC GROWTH". Food and Agri Economics Review 2, nr 1 (2022): 18–21. http://dx.doi.org/10.26480/faer.01.2022.18.21.

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South Asia region has the largest agricultural land area and has the largest irrigated system for agriculture – abstracts groundwater for irrigation purposes. The world is facing water scarcity issues and South Asia is also facing the water-stressed due to high population growth. This study tried to examine the impact of water utilization in the agriculture sector and examined the agriculture sector impact on economic growth in South Asian countries. Water utilization means growth in the agriculture sector and it may cause an increase in economic growth. The study used data from South Asian countries (Pakistan, India, Bangladesh, Afghanistan, Sri Lanka, Nepal, Bhutan and Maldives) from 2001 to 2018. Data has been observed through graphical representation to understand the relationship of variables of interest. The results of the research showed that the utilization of water in analyzed countries is one of the reasons for the development of agriculture. Moreover, the development of agriculture may, among other factors, positively affect economic growth. In all the South Asian countries, utilization of water is not efficient some countries utilized the maximum amount of water and get more agricultural growth. Some countries utilized the minimum amount of water and got less agriculture growth. Pakistan, India and Sri Lanka utilized a large amount of water and got more agricultural growth. Afghanistan, Nepal and Bangladesh utilized less amount of water and got less agriculture growth. So, this is not an efficient way of getting agricultural output. Due to old techniques of agriculture production in South Asia, it causes the wastage of water. The developed countries use less input and get more outputs because of this modern era of technology. Also, results revealed that agriculture growth has a positive impact on economic growth for all these countries such as Pakistan, India, Sri Lanka, Afghanistan, Nepal and Bangladesh. It means South Asian countries are agricultural base countries.
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Saludo, Ellysa Mae F., Maricel F. Lagado, Aaliyah Marie A. San Jose, Carmela P. Agustin, Nikka Joyce G. Lipardo i Michelle A. Agustin. "Water Salinity in Agriculture: Analyzing Irrigation Water Quality for Farmers". International Journal of Environment, Engineering and Education 5, nr 3 (30.12.2023): 111–18. http://dx.doi.org/10.55151/ijeedu.v5i3.104.

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The primary aim of this study is to assess irrigation water's salinity levels and categorize them as regular, slightly to moderately saline, or severely saline, using the salinity parameters established by Ayers and Westcot as a reference. This practice plays a substantial role in global agriculture, accounting for 20% of total cultivated land and contributing 40% of the world's food production. It falls under the classification of water usage known as Class C, which encompasses Fishery Water for the propagation and growth of aquatic resources, Recreational Water Class II for boating and similar activities, and Agriculture, including irrigation and livestock watering. This classification underscores irrigation water's profound influence on agriculture as a whole. Salinity, often considered one of humanity's earliest environmental challenges, is paramount. Excessive salinity in agriculture, particularly in the context of rice (Oryza sativa L.) cultivation, a staple crop that nourishes half of the global population, poses a formidable threat. High salinity levels can potentially hinder plant growth, reduce crop yields, and compromise the quality of agricultural products. This research seeks to illuminate the critical issue of salinity in irrigation, specifically focusing on its implications for rice cultivation, which plays a pivotal role in global food security. By delineating the salinity status of irrigation water, it aims to provide valuable insights into the challenges confronted by agricultural communities and lay the groundwork for informed decision-making in sustainable agriculture.
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Fereres, E. "Water-limited agriculture". European Journal of Agronomy 21, nr 4 (grudzień 2004): 399–400. http://dx.doi.org/10.1016/j.eja.2004.07.002.

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Zaporozec, Alexander. "Water and agriculture". GeoJournal 15, nr 3 (październik 1987): 231–32. http://dx.doi.org/10.1007/bf00213450.

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Juana, James S., Kenneth M. Strzepek i Johann F. Kirsten. "Market efficiency and welfare effects of inter-sectoral water allocation in South Africa". Water Policy 13, nr 2 (20.10.2010): 220–31. http://dx.doi.org/10.2166/wp.2010.096.

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The need for increased agricultural production to meet the growing demand for food, coupled with concerns for environmental sustainability, economic growth and poverty reduction has increased demand on the already scarce water in South Africa. At the same time, because of agriculture's minimal contribution, compared to the industrial and mining sectors, to South Africa's GDP and employment, the call to reallocate water from agriculture to non-agricultural use has been intensified. This study updates the 1998 Social Accounting Matrix (SAM) for South Africa and uses the computable general equilibrium model to analyze the impact of water reallocation from agriculture to the non-agricultural sectors on output growth, value added at factor cost, which captures the payments from the production sectors to the factors of production, and households' welfare. Using different water reallocation scenarios, the simulation results indicate that water reallocation from agriculture to non-agricultural sectors beyond the level of a market allocation scenario will lead to a decline in sectoral output and a significant deterioration in the welfare of poor households. It thus undermines development efforts aimed at reducing the existing level of poverty in the country.
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Toerien, D. F. "Pollution of water supplies". Suid-Afrikaanse Tydskrif vir Natuurwetenskap en Tegnologie 5, nr 1 (17.03.1986): 22–27. http://dx.doi.org/10.4102/satnt.v5i1.972.

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Water is used in agriculture for irrigation as well as for drinking water for man and beast. The pollution of water with salts, plant nutrients, organic material, pathogens and parasites, as well as toxic components, decreases its value for agricultural purposes. The rapid development of and the population growth in South Africa will increase water pollution, and agriculture will thus be influenced. Agriculture will also have to intensify in the future to meet the expected increased demand for food; the role of agriculture as a water polluter will thus also increase. South African agriculturists and water managers will have to meet unique challenges in the next decade. However, there are also unique opportunities to utilise.
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Yu, Xiao, Xun Jian Long, Yan He i Ying Liu. "Study on Water Measuring Facilities in Water-Saving Irrigation District, China". Advanced Materials Research 1010-1012 (sierpień 2014): 1033–36. http://dx.doi.org/10.4028/www.scientific.net/amr.1010-1012.1033.

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In recent years, the Chinese government has adjust the implementation of national industrial structure and popularize water saving. However, agricultural water consumption still accounted for more than 60% of the total water content. With the rapid development of economy, the situation of water shortage is becoming increasingly serious. In agriculture production, developing accurate quantity water infrastructure projects can promote water saving on agricultural production and advance the process of water-saving agriculture. Based on the analysis of the current situation of agricultural development in China, this manuscript compared the development of the irrigation district management system since 1950s, and summarized the main factors restricting the construction of water-saving irrigation area. The results show that (1) Irrigation facilities coverage remains to be improved. (2) Low accuracy of measuring water facilities. (3) Lack of economic and practical equipment. In addition, this paper also put forward the research and development direction of quantity of water facilities in future. It can provide useful reference for water-saving agriculture development in China.
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Rozprawy doktorskie na temat "Water in agriculture"

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Gemesi, Zsolt. "Plumbing agricultural landscapes for water quality improvement coexistence of intensive agriculture and good water quality /". [Ames, Iowa : Iowa State University], 2007.

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Thiouf, Alassane 1959. "Water management for agriculture in Senegal". Thesis, The University of Arizona, 1987. http://hdl.handle.net/10150/191941.

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Water problems in the Sahel region have lead to a study of water management in one country of the area, Senegal. Farming systems, human resources, and livestock production of the country have been analysed. Natural resources, water, soil, topography, and vegetation have also been studied. The study of the different resource shows the potential of improvement in water management. A specific location in Senegal, Kedougou, is chosen and a water management pilot project is designed. The Gambia river and rainfall are the main sources of water for the project. The project is used for different purposes among which are agricultural production, research, and economic improvement. The project is suitable technically, and social, political and economic environments are favorable. The pilot project demonstrates the adequacy of the technologies used for the project. A preliminary estimation of the costs gives an acceptable financial input for such a system.
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Simas, Maria Joao Correia de 1966. "Soil water determination by natural gamma radiation attenuation". Thesis, The University of Arizona, 1993. http://hdl.handle.net/10150/278348.

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The purpose of the study was to determine the soil moisture content by measuring the naturally occurring gamma radiation in the soil. A calibration procedure was developed both in laboratory and in the field. In the laboratory, two different sample sizes were used: three-inch diameter, and 18-inch diameter columns, both 15 cm long. Small size soil samples (three-inch diameter) cannot be used to predict the calibration curve in the field, whereas the larger soil samples (18-inch diameter) calibration may be used to predict the field calibration curve. The prediction limits for the calibration curve done in the field are of ±5%, which is an unacceptable level of precision. It was also observed that the distance between the detector and the soil should always be kept constant, and that the top 15 cm of the soil contribute to approximately 95% of the radiation measured at the soil surface.
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Smith, S. Andrew Enticknap. "Water first". Connect to full text, 2002. http://thesis.anu.edu.au/public/adt-ANU20050314.135921/index.html.

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Dale, Don. "Saving City Water". College of Agriculture, University of Arizona (Tucson, AZ), 1988. http://hdl.handle.net/10150/295530.

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Ketchum, Lynn. "Backyard Water Management". College of Agriculture, University of Arizona (Tucson, AZ), 1988. http://hdl.handle.net/10150/295532.

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Kingdon, Lorraine B. "Hot Water Issues". College of Agriculture, University of Arizona (Tucson, AZ), 1988. http://hdl.handle.net/10150/295533.

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Kingdon, Lorraine B. "Water Quality Watchdogs". College of Agriculture, University of Arizona (Tucson, AZ), 1988. http://hdl.handle.net/10150/295555.

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McCormick, Suzanne. "Air and Water Quality". College of Agriculture, University of Arizona (Tucson, AZ), 1992. http://hdl.handle.net/10150/295707.

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Oliveira, Aureo Silva 1965. "Determination of head lettuce crop coefficient and water use in central Arizona". Diss., The University of Arizona, 1998. http://hdl.handle.net/10150/282779.

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The assessment of crop evapotranspiration (ET) has received intensive research due to its critical role in irrigation management and water conservation studies. Because weather conditions largely determine ET, various methods based on meteorological factors have been developed to estimate ET rates. In order to accommodate the concept of reference crop ET (ETo), evaluation of weather data quality has been addressed. In this research, 9 year (1989-1997) weather data from the AZMET weather station at the Maricopa Agricultural Center were used to compare daily and 10 day average ETo estimated by the Hargreaves (HARG), FAO 24 Penman (FAOP), and FAO Penman-Monteith (FAOPM) methods. Before ET calculation, the weather data were evaluated for the influence of aridity at the weather station site and sensor calibration/malfunctioning problems. Corrections were made on temperature and solar radiation data. Reference ET as reported by the AZMET was also considered for comparison purposes. In general, the weather data correction decreased ETo estimates 18.3%, on average. The highest reduction (23.5%) was obtained with the FAOPM method. When this method was used as the standard for ETo estimate comparison, the FAOP method corrected for site aridity ranked first as predictor of ETo despite its tendency for overestimation. At the Maricopa Agricultural Center, a two year field research (Fall-Winter of 1996/97 and 1997/98) was carried out to derive head lettuce (Lactuca sativa L.) crop coefficient (Kc) and to investigate the effects of ETo method in the shape and values of the crop coefficient curve. For the periods of low crop ET, the 2 year (Kc) from the HARG, FAOP, and FAOPM methods did not differ significantly. However, in the peak demand period, crop coefficients derived from the three methods peaked at different values. The predicted peak (Kc) was 0.87, 0.72, and 0.82 for the HARG, FAOP, and FAOPM methods, respectively. These results reflect the tendency of ETo underestimation by the HARG method and overestimation by the FAOP method under and conditions. Crop coefficients derived in the 96/97 growing season were then used to investigate the effects of (Kc) and ETo mismatching in the water use and yield of lettuce during the 97/98 growing season. To reach such objectives, an experiment design in Latin square with four replications and four treatments was carried out. Differences in seasonal water depth were as high as 33 mm among treatments. The analysis of variance revealed that the treatments did not induce lettuce marketable yield statistically different at the 5% significance level.
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Książki na temat "Water in agriculture"

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Shortle, James, Markku Ollikainen i Antti Iho. Water Quality and Agriculture. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-47087-6.

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García-Tejero, Iván Francisco, Víctor Hugo Durán-Zuazo, José Luis Muriel-Fernández i Carmen Rocío Rodríguez-Pleguezuelo. Water and Sustainable Agriculture. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-2091-6.

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Ayers, R. S. Water quality for agriculture. Rome: Food and Agriculture Organization of the United Nations, 1985.

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International Commission on Irrigation and Drainage., red. Water saving in agriculture. New Delhi: International Commission on Irrigation and Drainage, 2008.

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International Commission on Irrigation and Drainage., red. Water saving in agriculture. New Delhi: International Commission on Irrigation and Drainage, 2008.

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García-Tejero, Iván Francisco. Water and Sustainable Agriculture. Dordrecht: Iván Francisco García-Tejero, 2011.

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Crowder, Bradley M. Agriculture and water quality. [Washington, DC]: U.S. Dept. of Agriculture, Economic Research Service, 1988.

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Federation of Indian Chambers of Commerce and Industry. Sustainable agriculture water management. New Delhi: Federation of Indian Chambers of Commerce and Industry, 2012.

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World Water Assessment Programme (United Nations), red. Agriculture, food and water. [Rome?]: FAO, 2003.

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David, Stallings, i United States. Department of Agriculture. Economic Research Service, red. Agriculture and water quality. Washington, DC]: U.S. Department of Agriculture, Economic Research Service, 1988.

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Części książek na temat "Water in agriculture"

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Martin, Felipe, i Felipe Saavedra. "Irrigated Agriculture". W Water Policy in Chile, 165–77. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76702-4_11.

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Biswas, Asit K. "Water and Agriculture". W Water Resources of North America, 51–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-10868-0_6.

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Kislev, Yoav. "Water in Agriculture". W Global Issues in Water Policy, 51–64. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-5911-4_4.

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Qamar, M. Kalim, Asif Sharif, Mahmood Ahmad, Hamid Jalil i Amina Bajwa. "Agriculture and Water". W Water Policy in Pakistan, 269–94. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-36131-9_10.

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Wang, Huixiao, Xiaohong Ren, Yanjun Shen, Yongqing Qi i Changming Liu. "Water-saving agriculture". W Groundwater Management for Sustainable Agriculture in the North China Plain, 31–49. London: CRC Press, 2024. http://dx.doi.org/10.1201/9781003221005-5.

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Ritter, William F. "Sustainable Agriculture Water Management". W Water Sustainability, 33–46. New York, NY: Springer US, 2023. http://dx.doi.org/10.1007/978-1-0716-2466-1_1129.

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Ouda, Samiha, i Abd El-Hafeez Zohry. "Water-Smart Practices to Manage Water Scarcity". W Climate-Smart Agriculture, 3–26. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93111-7_1.

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Kinzelbach, Wolfgang, Haijing Wang, Yu Li, Lu Wang i Ning Li. "Cropping Choices and Farmers’ Options". W Springer Water, 53–75. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5843-3_3.

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AbstractIrrigation being the main cause of aquifer depletion, agriculture is the first candidate to contribute to its solution. Options of agricultural planting structure in Beijing-Tianjin-Hebei region are analyzed using various planting scenarios.
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Goldstein, Joan. "Changing Agriculture". W Demanding Clean Food and Water, 141–83. Boston, MA: Springer US, 1990. http://dx.doi.org/10.1007/978-1-4899-6134-1_6.

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Bakhsh, Allah, i Muhammad Adnan Shahid. "Water". W Developing Sustainable Agriculture in Pakistan, 59–80. Boca Raton, FL : CRC Press, Taylor & Francis Group, 2018.: CRC Press, 2018. http://dx.doi.org/10.1201/9781351208239-3.

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Streszczenia konferencji na temat "Water in agriculture"

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Amaechina, E. C., E. C. Nwagbo i E. C. Eboh. "Men and Women in Irrigated Agriculture in Southeastern Nigeria". W Water Resource Management. Calgary,AB,Canada: ACTAPRESS, 2010. http://dx.doi.org/10.2316/p.2010.686-054.

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Howell, T. A. "Enhancing WUE in Irrigated Agriculture". W World Water and Environmental Resources Congress 2005. Reston, VA: American Society of Civil Engineers, 2005. http://dx.doi.org/10.1061/40792(173)524.

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do Ó, A., i M. J. Roxo. "Drought response and mitigation in Mediterranean irrigation agriculture". W WATER RESOURCES MANAGEMENT 2009. Southampton, UK: WIT Press, 2009. http://dx.doi.org/10.2495/wrm090461.

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Schoch, Julian, L. Walthert, A. Carminati i P. Lehmann. "Soil-water-plant interactions". W Agriculture and geophysics: Illuminating the subsurface. Agrogeophysics, 2024. http://dx.doi.org/10.62329/wtkp2640.

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Madugundu, R., K. A. Al-Gaadi i E. Tola. "67. Remote sensing estimates of crop water use for improved irrigation water management". W 13th European Conference on Precision Agriculture. The Netherlands: Wageningen Academic Publishers, 2021. http://dx.doi.org/10.3920/978-90-8686-916-9_67.

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BĂLĂCEANU, Cristina, George SUCIU, Romulus CHEVEREȘAN, Marius DOBREA i Andreea IOSIF. "Monitoring Solutions For Smart Agriculture." W Air and Water Components of the Environment 2019 Conference. Casa Cărţii de Ştiinţă, 2019. http://dx.doi.org/10.24193/awc2019_17.

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Chirnside, Anastasia E. M. "Obstacles to Water Reuse in Irrigated Agriculture". W World Environmental and Water Resources Congress 2022. Reston, VA: American Society of Civil Engineers, 2022. http://dx.doi.org/10.1061/9780784484258.056.

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Laoubi, K., i M. Yamao. "Water policy reforms in Algeria’s agriculture: a review and prospects". W WATER AND SOCIETY 2011. Southampton, UK: WIT Press, 2011. http://dx.doi.org/10.2495/ws110381.

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Abashidze, Giorgi. "Digital agriculture - technological means and possibilities of digital transformation of agriculture". W 24th International Scientific Conference. “Economic Science for Rural Development 2023”. Latvia University of Life Sciences and Technologies. Faculty of Economics and Social Development, 2023. http://dx.doi.org/10.22616/esrd.2023.57.001.

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In the last 20 years, the extensive integration of digital technologies has led to considerable changes in all industries, including agriculture. As a result, the agricultural sector has undergone a digital transformation. This shift has become increasingly necessary due to the many challenges faced by modern-day agriculture, such as rising temperatures, changing seasons, frequent extreme weather conditions, low availability of water resources, and decreased soil fertility. It is now evident that traditional farming methods are inadequate for achieving efficiency in agriculture, and innovative methods are essential. One such approach is digital agriculture, also known as smart agriculture or e-agriculture. This cutting-edge method utilizes digital technologies to collect, process, analyze, and disseminate information, enabling real-time decision-making in response to changing external factors. Considering given factors, the paper discusses the main directions of the digital economy that could impact agriculture. It evaluates existing examples and models of digital agriculture, while identifying possible ways to apply digital technologies in the agricultural sector. Based on thorough research, the final section of the paper offers practical recommendations that can serve as useful tools for developing countries as they transition towards the digital transformation of agriculture. The research findings make it clear that digital technologies have become a critical component of modern-day agricultural activities. Without their integration, it would be impossible to sustain productive agricultural activities, meet the global demand for food, and respond adequately to changing environmental factors.
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Ritter, William F. "The Chesapeake Bay TMDL: Can Agriculture Comply?" W World Environmental And Water Resources Congress 2012. Reston, VA: American Society of Civil Engineers, 2012. http://dx.doi.org/10.1061/9780784412312.097.

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Raporty organizacyjne na temat "Water in agriculture"

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Cooper, Rachel. Water in Sustainable Agriculture Standards. Institute of Development Studies (IDS), styczeń 2021. http://dx.doi.org/10.19088/k4d.2021.037.

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This review synthesises evidence on water in sustainable agriculture standards. Sustainable agricultural standards, hereafter standards, is a broad term encompassing certification schemes, tools, and programmes. The International Trade Centre’s Sustainability Standards Map includes 166 agricultural standards . However, there is a smaller number of prominent standards that are popularly used by major retailers or for particular commodities. Two studies looking at how water is considered in standards selected smaller numbers: Morgan (2017) benchmarks 25 popular use conventional agricultural standards and organic standards, whilst Vos & Boelens (2014) selected eight prominent standards for their analysis. The evidence base for this request was limited. Whilst water is included in individual standards, there is limited research on the efficacy or impact of standards on water issues. This review identified an extremely small number of studies that either assessed or benchmarked standards’ water related requirements or the impacts of certification and water requirements on water resources.
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Water Management Institute, International. Managing water for rainfed agriculture. International Water Management Institute (IWMI), 2010. http://dx.doi.org/10.5337/2010.223.

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Libecap, Gary, i Ariel Dinar. American Agriculture, Water Resources, and Climate Change. Cambridge, MA: National Bureau of Economic Research, lipiec 2022. http://dx.doi.org/10.3386/w30290.

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Mansouri, Noura, David Wogan i Huamid Kanji. Toward A Sustainable Agriculture Sector: Policy Options for Reducing Water Use in Abu Dhabi’s Agriculture Sector. King Abdullah Petroleum Studies and Research Center, marzec 2020. http://dx.doi.org/10.30573/ks--2020-dp06.

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Contant, Cheryl K., Michael D. Duffy i Maureen A. Holub. Tradeoffs Between Water Quality and Profitability in Iowa Agriculture. Iowa City, Iowa: University of Iowa Public Policy Center, marzec 1993. http://dx.doi.org/10.17077/8yo4-xw9p.

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Bhadbhade, Neha, K. J. Joy, Sarita Bhagat, Kiran Lohakare, Larissa Stiem-Bhatia i Dipankar Aich. Digitalisation in Water Governance for Agriculture: Lessons from the field in India. TMG Research gGmbH, luty 2024. http://dx.doi.org/10.35435/2.2024.2.

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Johnston, R., C. T. Hoanh, G. Lacombe, R. Lefroy, P. Pavelic i C. Fry. Managing water in rainfed agriculture in the Greater Mekong Subregion. International Water Management Institute (IWMI)., 2012. http://dx.doi.org/10.5337/2012.201.

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Borch, Thomas, Dionysios Dionysiou, Lynn Katz, Pei Xu, Richard Breckenridge, Kirk Ellison, Jessica Fox, Jordan Macknick, David Sedlak i Jennifer Stokes-Draut. National Alliance for Water Innovation (NAWI) Technology Roadmap: Agriculture Sector. Office of Scientific and Technical Information (OSTI), maj 2021. http://dx.doi.org/10.2172/1782447.

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HI-AWARE, ICIMOD. Climate smart water management vital for sustainable agriculture in South Asia. Kathmandu, Nepal: International Centre for Integrated Mountain Development (ICIMOD), 2018. http://dx.doi.org/10.53055/icimod.875.

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Taheripour, Farzad, Thomas Hertel i Jing Liu. Introducing water by river basin into the GTAP-BIO model: GTAP-BIO-W. GTAP Working Paper, listopad 2013. http://dx.doi.org/10.21642/gtap.wp77.

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This paper introduces water into the GTAP modeling framework at a river basin level. The new model: 1) distinguishes between irrigated and rainfed agriculture using different production functions; 2) takes into account heterogeneity in land quality across agro-ecological zones; 3) traces supply of water at the river basin level within each country/region; 4) fully captures competition for land among crop, livestock and forestry industries; 5) and, most importantly, offers the potential to extend the competition for managed water among agricultural and non-agricultural activities. Individuals interested in working with the GTAP-Water data base and model are referred to the following publication in the <a href="https://jgea.org/resources/jgea/ojs/index.php/jgea/article/view/35" target="_blank">Journal of Global Economic Analysis</a>
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