Vijay Mahore

Indian Institute of Technology Kharagpur

Papers

Total Citations

H-Index

About

Vijay Mahore is a researcher at the forefront of agricultural robotics and precision farming, with a focus on automating cotton harvesting. His work bridges computer vision and mechanical engineering to address real-world challenges in crop detection and robotic manipulation. Mahore’s most cited study, “In-field performance evaluation of robotic arm developed for harvesting cotton bolls” (2024, 16 citations), demonstrates a practical, field-tested robotic system for selective cotton picking—a significant step toward reducing labor dependency in agriculture. Complementing this, his earlier work on “Detection of Cotton Plants Using the YOLOv7 Deep Learning Model” (2023, 3 citations) tackles the difficult problem of object detection under variable lighting and diverse plant attributes, achieving rapid and accurate recognition. By integrating state-of-the-art deep learning with physical robotics, Mahore’s contributions offer scalable solutions for smart farming. His research not only advances agricultural automation but also provides a blueprint for deploying AI-driven systems in unstructured outdoor environments. With growing citation impact, Mahore is establishing himself as a key innovator in agri-robotics, where his work promises to enhance efficiency and sustainability in cotton production.