Chandrasekhar

Birla Institute of Technology and Science, Pilani

Papers

Total Citations

H-Index

About

Chandrasekhar’s research lies at the intersection of agricultural robotics, precision farming, and intelligent automation, with a focus on developing embedded systems that enhance crop monitoring and disease detection. His most-cited work, “Embedded mobile farm robot for identification of diseased plants” (2013, 2 citations), introduces a mobile robot that integrates GPS-based autonomous navigation with real-time image processing to identify plant diseases in the field. This contribution addresses two critical challenges in modern agriculture: automated field traversal and early disease diagnosis, offering a scalable solution for reducing crop loss and minimizing chemical overuse. Though his citation count remains modest, Chandrasekhar’s work is notable for its practical, systems-level approach—combining hardware, control, and vision algorithms into a deployable prototype. His research holds particular relevance for developing regions where labor shortages and food security concerns drive the need for low-cost, autonomous farming tools. By bridging robotics and agriculture, Chandrasekhar contributes to the growing field of precision agriculture, where intelligent machines are increasingly tasked with improving yield and sustainability.