Gopal U. Shinde

Papers

Total Citations

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About

Gopal U. Shinde is a researcher at the forefront of agricultural automation, specializing in computer vision, image processing, and precision agriculture. His work focuses on bridging the gap between advanced machine perception and practical farming solutions, enabling machines to “see” and analyze crops for smarter management. His most influential contribution, the 2021 work *Computer Vision and Image Processing for Precision Agriculture*, has garnered 12 citations and serves as a foundational resource for integrating camera-based monitoring and quantification into automated farming systems. Building on this, Shinde’s 2023 study, *Precision Pest and Disease Detection System using Agricultural Robot*, introduces a robotic solution for rapid identification of threats like pink bollworm in cotton crops, achieving 6 citations for its practical approach to crop protection. By combining real-time disease detection with autonomous robotics, Shinde’s research directly addresses critical challenges in sustainable agriculture, reducing reliance on manual scouting and enabling timely interventions. His work is particularly notable for its applied focus, offering scalable tools that enhance crop management efficiency. For students and researchers in agricultural engineering and computer vision, Shinde’s contributions exemplify how cutting-edge technology can transform traditional farming into a data-driven, resilient practice.