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Sustainable agriculture
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== Technological approaches == Sustainable agricultural systems are becoming an increasingly important field for AI research and development. By leveraging AI's skills in areas such as resource optimization, crop health monitoring, and yield prediction, farmers might greatly advance toward more environmentally friendly agricultural practices. AI-controlled irrigation systems optimize water consumption by using sensors to monitor soil moisture levels and weather conditions to distribute water accordingly. This water management technology can lower water consumption up to 30%.<ref>{{Cite journal | last1=Ali| first1=Hassan| last2=Mehmood| first2=Hassan| date=May 7, 2025| title=AI in Agriculture for Efficient Irrigation & Pest Control| url=https://ssrn.com/abstract=5244894| pages=8}}</ref> Artificial intelligence (AI) mobile soil analysis enables farmers to enhance soil fertility while decreasing their ecological footprint. This technology permits on-site, real-time evaluations of soil nutrient levels.<ref>{{Cite journal |last1=Albaaji |first1=Ghassan Faisal |last2=S.S. |first2=Vinod Chandra |date=October 2023 |title=Artificial intelligence SoS framework for sustainable agricultural production |url=https://linkinghub.elsevier.com/retrieve/pii/S0168169923005707 |journal=Computers and Electronics in Agriculture |language=en |volume=213 |pages=108182 |doi=10.1016/j.compag.2023.108182|bibcode=2023CEAgr.21308182A }}</ref> Agrivoltaics enhances sustainable agriculture by optimizing land use—allowing crops to be grown alongside solar panels, which generate clean energy. This dual-use approach conserves land resources, improves microclimates, and can promote more resilient, eco-friendly farming practices.<ref>{{Cite web |title=Agrivoltaics: Producing Solar Energy While Protecting Farmland |url=https://cbey.yale.edu/research/agrivoltaics-producing-solar-energy-while-protecting-farmland |access-date=2025-03-30 |website=Yale Center for Business and the Environment |language=en}}</ref>
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