DEVELOPMENT OF OPTIMIZED ELEMENTS OF THE AGRICULTURAL RAW MATERIAL PRODUCTION SYSTEM (COTTON RAW MATERIAL EXAMPLE)
Keywords:
cotton production, agricultural systems, optimization, irrigation efficiency, soil fertility, mechanization, precision agriculture, sustainability, resource management, digital farming.Abstract
This study focuses on the development of optimized elements within agricultural raw material production systems using cotton as a representative case. The research analyzes key components such as irrigation management, soil fertility, mechanization, and precision agriculture technologies, emphasizing their integrated role in improving system efficiency and sustainability. The findings indicate that the application of water-saving techniques, combined nutrient management, and modern digital tools significantly enhances productivity while reducing resource consumption and environmental impact. Furthermore, the study highlights the importance of a system-level approach, where interactions between technological and agronomic factors are considered. The proposed optimization framework provides practical solutions for increasing economic profitability and resilience in cotton production systems, particularly in regions facing water scarcity and climatic challenges.
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Abdullaev, I., Rakhmatullaev, S., & Kazbekov, J. (2022). Water management and institutional reforms in irrigated agriculture of Central Asia. Water Policy, 24(2), 215–230. https://doi.org/10.2166/wp.2022.145
Djanibekov, N., Van Assche, K., Bobojonov, I., & Lamers, J. P. A. (2021). Farm restructuring and agricultural transformation in Uzbekistan: The role of cotton production. Journal of Rural Studies, 83, 1–12. https://doi.org/10.1016/j.jrurstud.2021.02.005
Food and Agriculture Organization (FAO). (2022). The state of the world’s land and water resources for food and agriculture – Systems at breaking point. FAO. https://www.fao.org
Klerkx, L., Jakku, E., & Labarthe, P. (2019). A review of social science on digital agriculture, smart farming, and agriculture 4.0. NJAS: Wageningen Journal of Life Sciences, 90–91, 100315. https://doi.org/10.1016/j.njas.2019.100315
Lal, R. (2020). Soil health and carbon management. Food and Energy Security, 9(2), e203. https://doi.org/10.1002/fes3.203
Li, M., Zhang, H., & Wang, J. (2022). Application of precision agriculture technologies in cotton production systems. Computers and Electronics in Agriculture, 193, 106675. https://doi.org/10.1016/j.compag.2021.106675
Organisation for Economic Co-operation and Development (OECD). (2022). Agricultural policy monitoring and evaluation 2022. OECD Publishing. https://doi.org/10.1787/7f4542bf-en
Pereira, L. S., Cordery, I., & Iacovides, I. (2021). Improved indicators of water use performance and productivity for sustainable water conservation and saving. Agricultural Water Management, 245, 106634. https://doi.org/10.1016/j.agwat.2020.106634
Sharma, A., Kumar, V., & Singh, B. (2021). Integrated pest management in cotton: Recent advances and future perspectives. Crop Protection, 145, 105600. https://doi.org/10.1016/j.cropro.2021.105600
Smith, P., Soussana, J. F., Angers, D., Schipper, L., Chenu, C., Rasse, D. P., & van Groenigen, J. W. (2022). How to measure, report and verify soil carbon change to realize the potential of soil carbon sequestration for atmospheric greenhouse gas removal. Global Change Biology, 28(1), 219–241. https://doi.org/10.1111/gcb.15915
Wolfert, S., Ge, L., Verdouw, C., & Bogaardt, M. J. (2017). Big data in smart farming: A review. Agricultural Systems, 153, 69–80. https://doi.org/10.1016/j.agsy.2017.01.023
Zhang, Y., Chen, X., & Li, Q. (2021). Mechanization and automation in cotton production: Trends and prospects. Biosystems Engineering, 208, 105–117. https://doi.org/10.1016/j.biosystemseng.2021.05.010
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