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Journal articles on the topic 'Agricultural systems'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

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

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2

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

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3

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

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4

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

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5

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

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6

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 (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,

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7

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 (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 ha

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8

Martínez-Castillo, Róger. "Sustainable agricultural production systems." Revista Tecnología en Marcha 29, no. 5 (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 acti

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9

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

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10

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

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11

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

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12

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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13

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 (2011): 61–75. http://dx.doi.org/10.1080/14735903.2011.610206.

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14

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

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15

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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16

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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17

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

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18

E, Susendar, and Amsaveni C. "A STUDY ON AGRICULTURAL SYSTEMS." International Journal of Engineering Applied Sciences and Technology 6, no. 11 (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

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19

Wratten, S. D., M. Hofmans, S. Thomsen, et al. "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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20

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

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21

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

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22

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

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23

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

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24

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 a

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25

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

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26

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

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27

Hendrickson, J. R., M. A. Liebig, and G. F. Sassenrath. "Environment and integrated agricultural systems." Renewable Agriculture and Food Systems 23, no. 04 (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

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28

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

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29

Kibblewhite, M. G., K. Ritz, and M. J. Swift. "Soil health in agricultural systems." Philosophical Transactions of the Royal Society B: Biological Sciences 363, no. 1492 (2007): 685–701. http://dx.doi.org/10.1098/rstb.2007.2178.

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Soil health is presented as an integrative property that reflects the capacity of soil to respond to agricultural intervention, so that it continues to support both the agricultural production and the provision of other ecosystem services. The major challenge within sustainable soil management is to conserve ecosystem service delivery while optimizing agricultural yields. It is proposed that soil health is dependent on the maintenance of four major functions: carbon transformations; nutrient cycles; soil structure maintenance; and the regulation of pests and diseases. Each of these functions i

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30

Kondo, Naoshi. "Identification of Agricultural Robotic Systems." IFAC Proceedings Volumes 30, no. 11 (1997): 1715–19. http://dx.doi.org/10.1016/s1474-6670(17)43091-6.

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31

van Oosten, Ary. "Water management and agricultural systems." Land Use Policy 4, no. 3 (1987): 347–48. http://dx.doi.org/10.1016/0264-8377(87)90034-2.

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32

Jacquard, Pierre. "An introduction to agricultural systems." Agriculture, Ecosystems & Environment 32, no. 1-2 (1990): 157–59. http://dx.doi.org/10.1016/0167-8809(90)90132-w.

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33

Rohles, F. H. "Environmental ergonomics in agricultural systems." Applied Ergonomics 16, no. 3 (1985): 163–66. http://dx.doi.org/10.1016/0003-6870(85)90002-x.

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34

Thornton, P. K. "An introduction to agricultural systems." Agricultural Systems 31, no. 4 (1989): 395–96. http://dx.doi.org/10.1016/0308-521x(89)90037-1.

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35

Dommen, Arthur J. "Agrarian policies and agricultural systems." Agricultural Systems 37, no. 2 (1991): 222–23. http://dx.doi.org/10.1016/0308-521x(91)90008-x.

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36

Harrison, S. R. "Validation of agricultural expert systems." Agricultural Systems 35, no. 3 (1991): 265–85. http://dx.doi.org/10.1016/0308-521x(91)90159-8.

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37

Laurenson, Matthew, and Seishi Ninomiya. "Successful Agricultural Decision Support Systems." Agricultural Information Research 11, no. 1 (2002): 5–25. http://dx.doi.org/10.3173/air.11.5.

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38

Hadas, A. "An introduction to agricultural systems." Soil and Tillage Research 17, no. 3-4 (1990): 327–28. http://dx.doi.org/10.1016/0167-1987(90)90045-f.

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39

Carter, Laura, and Clare Davis. "Emerging contaminants in agricultural systems." Nature Reviews Earth & Environment 6, no. 5 (2025): 320. https://doi.org/10.1038/s43017-025-00674-x.

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40

Jiang, Li, Boyan Xu, Naveed Husnain, and Qi Wang. "Overview of Agricultural Machinery Automation Technology for Sustainable Agriculture." Agronomy 15, no. 6 (2025): 1471. https://doi.org/10.3390/agronomy15061471.

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Automation in agricultural machinery, underpinned by the integration of advanced technologies, is revolutionizing sustainable farming practices. Key enabling technologies include multi-source positioning fusion (e.g., RTK-GNSS/LiDAR), intelligent perception systems utilizing multispectral imaging and deep learning algorithms, adaptive control through modular robotic systems and bio-inspired algorithms, and AI-driven data analytics for resource optimization. These technological advancements manifest in significant applications: autonomous field machinery achieving lateral navigation errors belo

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41

Berbeć, Adam Kleofas. "Agricultural resilience and agricultural sustainability – which is which?" Current Agronomy 1, no. 1 (2024): 10–22. http://dx.doi.org/10.2478/cag-2024-0002.

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Abstract Agricultural sustainability and agricultural resilience are two related concepts focus on maintaining the productivity and functionality of agricultural systems. Agricultural sustainability, a part of sustainable development, focuses on the long-term viability of agricultural practices, with conservation and efficient use of natural resources, the promotion of biodiversity and the enhancement of ecosystem services delivery to ensure the continued productivity of agricultural systems as central point of the concept. Agricultural sustainability seeks to balance the environmental goals w

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42

Williams, David L., and Olivia N. Muchena. "Utilizing Indigenous Knowledge Systems In Agricultural Education To Promote Sustainable Agriculture." Journal of Agricultural Education 32, no. 4 (1991): 52–57. http://dx.doi.org/10.5032/jae.1991.04052.

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43

Swetaben K. Parmar. "Designing Smart Agriculture Systems: Merging IoT, Computer Science, and Agricultural Engineering." Journal of Information Systems Engineering and Management 10, no. 31s (2025): 515–23. https://doi.org/10.52783/jisem.v10i31s.5105.

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Introduction: Smart technology has revolutionized the agricultural industry, leading innovations in sustainability, resource economy, and precision farming. This work studies the advancement of smart agriculture systems, wherein the Internet of Things (IoT), computer science, and agricultural engineering collate. Through IoT devices, data analysis, and automation, this paper proposes a smart agriculture framework designed to improve the efficiency of crop production, resource utilization, and environmental sustainability. This paper provides a general review of IoT-based sensor networks for re

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44

Waage, J. K., and J. D. Mumford. "Agricultural biosecurity." Philosophical Transactions of the Royal Society B: Biological Sciences 363, no. 1492 (2007): 863–76. http://dx.doi.org/10.1098/rstb.2007.2188.

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The prevention and control of new pest and disease introductions is an agricultural challenge which is attracting growing public interest. This interest is in part driven by an impression that the threat is increasing, but there has been little analysis of the changing rates of biosecurity threat, and existing evidence is equivocal. Traditional biosecurity systems for animals and plants differ substantially but are beginning to converge. Bio-economic modelling of risk will be a valuable tool in guiding the allocation of limited resources for biosecurity. The future of prevention and management

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45

N, Sneha, Thota Santosh, and C. R. Manjunath. "A Comparative Study on Agricultural Crop Disease Detection Systems." International Journal of Trend in Scientific Research and Development Volume-2, Issue-4 (2018): 163–68. http://dx.doi.org/10.31142/ijtsrd12870.

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46

Åge Vestøl, Jon, and Henning Høie. "Sustainable agriculture: Assessments of agricultural pollution in the SIMJAR model." Statistical Journal of the United Nations Economic Commission for Europe 6, no. 3 (1989): 255–67. http://dx.doi.org/10.3233/sju-1989-6305.

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47

Bowler, Ian. "Book Review: Agriculture and Environment: The Physical Geography of Temperate Agricultural Systems." Progress in Human Geography 10, no. 3 (1986): 451–52. http://dx.doi.org/10.1177/030913258601000313.

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48

Moffett, Alasdair, and Clare Hill. "Regenerative agriculture — the practices involved and its position within modern agricultural systems." Livestock 27, no. 6 (2022): 274–80. http://dx.doi.org/10.12968/live.2022.27.6.274.

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Agriculture alone produces 10% of UK greenhouse gas emissions, despite constituting less than 1% of gross domestic product (GDP). Climate mitigation targets set by the United Nations Paris Climate Agreement look to land management strategies to limit global warming below 2°C. At present, it is estimated that a minimum of 40% of earth's farmed land is poorer in quality than it was in the 1970s. Simultaneously three quarters of the earth's species are being lost within a short geological time frame described as the sixth, mass extinction event. Unlike the past five mass extinction events, the ca

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49

Schoolman, Ethan D. "Do direct market farms use fewer agricultural chemicals? Evidence from the US census of agriculture." Renewable Agriculture and Food Systems 34, no. 5 (2018): 415–29. http://dx.doi.org/10.1017/s1742170517000758.

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AbstractAre strong local food systems better for the environment than conventional food systems where relatively close proximity between points of production and consumption is not a defining characteristic? Despite growing support for efforts to strengthen local food systems, surprisingly little is known about the relationship of local food to environmental sustainability. In particular, the relationship of local food systems to the use of agricultural chemicals to manage pests, weeds and disease has not been a subject of systematic research. In this paper, I use longitudinal data from the US

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50

Burkart, M. R., and J. D. Stoner. "Nitrate in aquifers beneath agricultural systems." Water Science and Technology 45, no. 9 (2002): 19–29. http://dx.doi.org/10.2166/wst.2002.0195.

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Research from several regions of the world provides spatially anecdotal evidence to hypothesize which hydrologic and agricultural factors contribute to groundwater vulnerability to nitrate contamination. Analysis of nationally consistent measurements from the U.S. Geological Survey’s NAWQA program confirms these hypotheses for a substantial range of agricultural systems. Shallow unconfined aquifers are most susceptible to nitrate contamination associated with agricultural systems. Alluvial and other unconsolidated aquifers are the most vulnerable and shallow carbonate aquifers provide a substa

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