Muhammad Yaqub
Papers
1
Total Citations
93
H-Index
1
About
Muhammad Yaqub is a leading researcher at the intersection of artificial intelligence and sustainable agriculture, whose work addresses the dual global crises of climate change and food security. His most-cited paper, "Artificial intelligence in agriculture: Advancing crop productivity and sustainability" (2025, 93 citations), provides a comprehensive framework for how AI technologies—from precision farming to predictive analytics—can revolutionize crop management while minimizing environmental impact. Yaqub’s contributions are particularly notable for bridging the gap between cutting-edge computational methods and practical agricultural challenges, offering scalable solutions for smallholder farmers and large agribusinesses alike. His research demonstrates how machine learning models can optimize irrigation, detect plant diseases early, and improve yield forecasting under changing climatic conditions. With his work gaining rapid traction in the scientific community, Yaqub is emerging as a pivotal voice in the movement toward climate-smart agriculture. His ability to translate complex AI concepts into actionable strategies makes his research indispensable for students, policymakers, and practitioners seeking to build a more resilient and productive global food system.
Research Focus
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Top Papers
- 1