Chinyere N. Ugwu
Papers
1
Total Citations
11
H-Index
1
About
Dr. Chinyere N. Ugwu is a leading voice in the intersection of artificial intelligence and sustainable agriculture. Her research focuses on leveraging machine learning algorithms to optimize crop management, enhance resource efficiency, and drive data-driven agricultural sustainability. In her highly cited 2025 systematic review, which has already garnered 11 citations, Dr. Ugwu synthesized 95 studies spanning a decade to demonstrate how AI and ML can revolutionize crop monitoring, yield prediction, and resource use. This work provides a critical framework for integrating smart technologies into farming practices, offering actionable insights for reducing waste and improving food security. Her contributions are particularly notable for bridging the gap between computational methods and real-world agricultural challenges, making her a key figure in the push toward climate-resilient farming. Dr. Ugwu’s research not only advances academic knowledge but also equips policymakers and practitioners with evidence-based tools to enhance productivity while minimizing environmental impact. Her work stands as a cornerstone for students and researchers exploring the transformative potential of AI in agriculture.
Research Focus
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Top Papers
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