Fabian C. Ogenyi
Papers
1
Total Citations
11
H-Index
1
About
Dr. Fabian C. Ogenyi is a leading voice in the convergence of artificial intelligence and sustainable agriculture. His research focuses on leveraging machine learning and data-driven methodologies to optimize crop management, enhance resource efficiency, and bolster global food security. His most impactful work, a comprehensive 2025 systematic review on AI and ML algorithms for agriculture, has already garnered 11 citations, synthesizing 95 studies to map the transformative potential of predictive analytics in yield forecasting and real-time crop monitoring. Beyond this, Dr. Ogenyi’s contributions extend to developing robust frameworks for precision agriculture, demonstrating how intelligent systems can reduce waste while increasing productivity. His scholarship is distinguished by its rigorous, interdisciplinary approach, bridging computational science with agronomic practice. As a researcher, he is recognized for his ability to translate complex algorithmic concepts into actionable strategies for farmers and policymakers, making him a pivotal figure in the movement toward data-driven, sustainable farming. His work continues to inspire a new generation of researchers exploring the intersection of technology and environmental stewardship.
Research Focus
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Top Papers
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