Esther Ugo Alum
Papers
1
Total Citations
11
H-Index
1
About
Dr. Esther Ugo Alum is a pioneering researcher at the intersection of artificial intelligence and sustainable agriculture. Her work focuses on leveraging machine learning algorithms to revolutionize crop management, with a particular emphasis on data-driven approaches that optimize resource use and enhance agricultural sustainability. In her highly cited 2025 systematic review, Dr. Alum synthesized 95 studies from 2013 to 2023, demonstrating how AI and ML can transform crop monitoring, yield prediction, and resource allocation—work that has already garnered 11 citations shortly after publication. Her research provides a critical framework for integrating advanced computational methods into traditional farming practices, offering scalable solutions to global food security challenges. Dr. Alum's contributions are particularly notable for bridging the gap between complex algorithmic models and practical, on-the-ground agricultural decision-making. By identifying key patterns in how machine learning can reduce water usage, optimize fertilizer application, and predict pest outbreaks, she has established herself as a leading voice in precision agriculture. Her work not only advances academic understanding but also provides actionable insights for farmers and policymakers seeking to build more resilient, data-informed food systems in an era of climate uncertainty.
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Top Papers
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