Rohan Inamdar

Vellore Institute of Technology University

Papers

Total Citations

H-Index

About

Rohan Inamdar is an emerging researcher in agricultural robotics and precision farming, with a focus on developing intelligent systems for crop protection. His most-cited work, "Precision Pest and Disease Detection System using Agricultural Robot" (2023, 6 citations), addresses the critical challenge of safeguarding cotton crops from pink bollworm infestations while enabling rapid disease identification. This research introduces an integrated robotic platform that combines computer vision and machine learning to detect pests and diseases in real-time, offering a scalable solution for sustainable agriculture. Inamdar’s contributions lie at the intersection of robotics, sensor technology, and data-driven diagnostics, aiming to reduce reliance on chemical pesticides and improve crop management efficiency. Though early in his career, his work has already garnered attention for its practical relevance to global food security. By automating the detection process, Inamdar’s system empowers farmers with timely, actionable insights, potentially transforming pest control strategies. His research underscores a commitment to bridging engineering innovation with agricultural needs, marking him as a promising voice in precision agriculture and smart farming technologies.