Arjun Jagannath
Papers
1
Total Citations
19
H-Index
1
About
Arjun Jagannath is a researcher at the forefront of integrating artificial intelligence with agricultural technology, specializing in precision farming and plant disease detection. His most impactful work, a 2022 study on deploying a low-cost unmanned aerial vehicle (UAV) to detect Cercospora leaf spot in okra using deep convolutional neural networks, has garnered 19 citations and exemplifies his commitment to accessible, high-impact solutions. This research demonstrates how affordable drone-based imaging combined with advanced deep learning can revolutionize crop monitoring, enabling early and accurate disease identification for smallholder farmers. Jagannath’s contributions lie in bridging the gap between cutting-edge AI and practical, cost-effective agricultural tools, directly addressing food security challenges. His work is notable for its focus on real-world applicability, showing how neural networks can be trained on limited datasets to perform robustly in field conditions. By lowering the technological barrier for precision agriculture, Jagannath is empowering farmers with data-driven insights to reduce crop loss and optimize resource use. His research not only advances the field of agricultural informatics but also sets a precedent for developing scalable, low-cost solutions that can be deployed in resource-constrained environments.
Research Focus
Key Achievements
Top Papers
- 1