D. S. Nagesh

Papers

Total Citations

H-Index

About

D. S. Nagesh is an emerging researcher at the forefront of precision agriculture, specializing in deep learning, computer vision, and intelligent robotics for sustainable farming applications. His work focuses on harnessing cutting-edge artificial intelligence to address one of agriculture's most persistent challenges: weed management. Nagesh's most influential contribution, a comprehensive review of deep learning applications in weed detection using UAVs and robotic platforms, has already garnered 22 citations since its 2025 publication, signaling strong interest from the research community in this rapidly evolving field. His 2024 study on robotic weed removal further demonstrates his commitment to translating theoretical advances into practical solutions, employing the YOLOv5 architecture to achieve high-accuracy, real-time weed detection in cotton field environments. By bridging the gap between machine intelligence and agricultural robotics, Nagesh's research offers farmers scalable, precise alternatives to broad-spectrum herbicide use. His growing citation record reflects meaningful early-career impact, positioning him as a promising contributor to the global effort to make food production smarter, more efficient, and environmentally responsible.