Muni Sekhar Boligala
Papers
1
Total Citations
19
H-Index
1
About
Muni Sekhar Boligala is a researcher at the forefront of applying artificial intelligence and deep learning to agricultural challenges, with a particular focus on plant disease detection using unmanned aerial vehicles (UAVs). His most cited work, "A low-cost UAV for detection of Cercospora leaf spot in okra using deep convolutional neural network" (2022, 19 citations), exemplifies his commitment to developing accessible, cost-effective solutions for precision agriculture. By integrating drone technology with advanced convolutional neural networks, Boligala has demonstrated how small-scale farmers can leverage AI to identify and manage crop diseases early, reducing reliance on manual inspection and minimizing crop loss. His research bridges the gap between cutting-edge computer vision and real-world agricultural needs, offering scalable tools that enhance food security. Boligala’s work is particularly notable for its emphasis on low-cost implementation, making high-tech solutions viable in resource-limited settings. With growing recognition in the field of agricultural informatics, his contributions continue to inspire further exploration into UAV-based monitoring systems and deep learning applications for sustainable farming.
Research Focus
Key Achievements
Top Papers
- 1