Balaji Natesan
Papers
1
Total Citations
3
H-Index
1
About
Balaji Natesan is a forward-thinking researcher at the intersection of artificial intelligence, robotics, and precision agriculture. His work focuses on developing autonomous systems that integrate computer vision and deep learning to solve real-world challenges in livestock monitoring and environmental management. Natesan’s most cited study, “Advanced Robotic System with Keypoint Extraction and YOLOv5 Object Detection Algorithm for Precise Livestock Monitoring” (2023), introduces a novel AI-driven robot that automates the observation of critical biological processes—such as lobster molting—traditionally reliant on labor-intensive manual monitoring. By combining YOLOv5 object detection with keypoint extraction, his system achieves remarkable accuracy in tracking animal behavior, reducing human effort while improving data reliability. Though early in its citation impact, this work signals a transformative approach to aquaculture and animal welfare. Natesan’s contributions stand out for their practical applicability, bridging cutting-edge AI with sustainable farming practices. His research not only advances robotic autonomy but also offers scalable solutions for industries seeking efficient, non-invasive monitoring. For students and researchers, Natesan exemplifies how targeted AI applications can address pressing agricultural and ecological challenges.
Research Focus
Key Achievements
Top Papers
- 1