R. V. Sidharth

Manipal Academy of Higher Education, Amrita Vishwa Vidyapeetham

Papers

Total Citations

112

H-Index

About

R. V. Sidharth is a researcher at the forefront of precision agriculture, specializing in the application of machine learning and computer vision to sustainable farming. Their work centers on developing intelligent systems for automated weed and pest management, directly addressing the environmental and economic challenges of modern agriculture. Sidharth's most impactful contribution, the 2021 paper "Weed Density and Distribution Estimation for Precision Agriculture Using Semi-Supervised Learning," has garnered 106 citations, demonstrating its significance in enabling targeted herbicide application. This approach reduces chemical overuse, protecting biodiversity while maintaining crop yields. In related work, "Pests & Weed Control Autonomous Robot Using Machine Vision," Sidharth explores the integration of robotics and machine vision for autonomous field monitoring and intervention. By combining semi-supervised learning techniques with robotic platforms, their research paves the way for cost-effective, scalable solutions that minimize human labor and environmental harm. Sidharth's contributions are vital for advancing the vision of a sustainable coexistence between agriculture and nature, making them a key voice in the movement toward data-driven, eco-friendly farming practices.