Implementing artificial intelligence and machine learning algorithms for optimized crop management: a systematic review on data-driven approach to enhancing resource use and agricultural sustainability

<p>Artificial intelligence (AI) and machine learning (ML) are transforming agriculture by enabling data-driven decisions that elevate productivity and sustainability. This review synthesises 95 studies published between 2013 and 2023 that evaluate applications across crop monitoring, yield pre...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Okechukwu Paul-Chima Ugwu (21578037) (author)
مؤلفون آخرون:	Fabian C. Ogenyi (21578049) (author), Esther Ugo Alum (20880703) (author), Val Hyginus Udoka Eze (21578043) (author), Mariam Basajja (22188196) (author), Jovita Nnenna Ugwu (21578040) (author), Chinyere N. Ugwu (21578046) (author), Regina Idu Ejemot-Nwadiaro (15245416) (author), Michael Ben Okon (21578052) (author), Simeon Ikechukwu Egba (22438849) (author), Uti Daniel Ejim (22438852) (author)
منشور في:	2025
الموضوعات:	Medicine Biotechnology Ecology Science Policy Plant Biology Information Systems not elsewhere classified Artificial intelligence (AI) machine learning (ML) precision agriculture neural networks crop yield prediction smart irrigation and sustainable farming Artificial Intelligence Computer Science (General) Computer Engineering Databases Information & Communication Technology (ICT) Computing & IT Security Software Engineering & Systems Development Supercomputing Networks Plant Engineering & Maintenance
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Implementing artificial intelligence and machine learning algorithms for optimized crop management: a systematic review on data-driven approach to enhancing resource use and agricultural sustainability

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