M. Raghu Babu
Papers
1
Total Citations
7
H-Index
1
About
M. Raghu Babu is a researcher focused at the intersection of artificial intelligence and sustainable agriculture, with key contributions in applying neural networks to crop yield prediction. His most-cited work, "Comparative Evaluation of Neural Networks in Crop Yield Prediction of Paddy and Sugarcane Crop" (2022, 7 citations), addresses the critical challenge of climate change—including extreme temperatures, erratic rainfall, droughts, and floods—that threatens global food security. Babu demonstrates how advanced machine learning models can transform agricultural practices by enabling regular crop monitoring and optimized resource management to maximize yields. This research highlights the potential of technological innovation to reshape the food chain, offering data-driven solutions for farmers facing increasingly unpredictable environmental conditions. Though his citation count is modest, Babu's work represents an important step toward integrating AI into precision agriculture, with practical implications for improving food production resilience. His research is particularly valuable for students and researchers exploring how computational methods can address real-world agricultural sustainability challenges in an era of climate uncertainty.
Research Focus
Key Achievements
Top Papers
- 1