Edwin Jayaraj Balu
Papers
1
Total Citations
19
H-Index
1
About
Edwin Jayaraj Balu is a researcher at the forefront of agricultural technology, specializing in the integration of unmanned aerial vehicles (UAVs) and deep learning for precision crop disease management. His most cited work, "A low-cost UAV for detection of Cercospora leaf spot in okra using deep convolutional neural network" (2022), has garnered 19 citations, demonstrating its immediate impact on the field. This study pioneered a cost-effective, scalable approach to early disease detection in okra, combining affordable drone technology with advanced convolutional neural networks to achieve high-accuracy identification of Cercospora leaf spot—a major threat to okra yields. By reducing reliance on manual scouting and enabling rapid, non-invasive monitoring, Balu’s contribution offers a practical solution for smallholder farmers and agricultural stakeholders. His work bridges the gap between cutting-edge AI and real-world agricultural challenges, highlighting his commitment to accessible, data-driven farming innovations. Balu’s research not only advances precision agriculture but also sets a foundation for future low-cost UAV-based diagnostic systems in crop protection.
Research Focus
Key Achievements
Top Papers
- 1