Sai Sankar Gochhayat

Papers

Total Citations

H-Index

About

Sai Sankar Gochhayat is a researcher whose work sits at the intersection of precision agriculture and intelligent automation. His primary research focus is on developing computer vision and robotic systems to solve critical challenges in crop management, particularly in weed control. His most cited work, "Computer Vision Assisted Autonomous Intra-Row Weeder" (2018, 3 citations), exemplifies his core contribution: designing autonomous systems that leverage visual data to distinguish between crops and weeds, enabling targeted, non-chemical removal. This approach directly addresses the deleterious impact of weeds on vegetable crop production, offering a sustainable alternative to herbicides. By integrating machine learning with mechanical design, Gochhayat’s research advances the goal of fully autonomous, intra-row weeding—a notoriously difficult task in precision agriculture. While his citation count is modest, his work represents a practical, applied step toward reducing labor and chemical inputs in farming. For students and researchers interested in the convergence of robotics, computer vision, and sustainable agriculture, Gochhayat’s work provides a clear example of how engineering can directly improve food production systems.