Prakhar Patidar

Indian Institute of Technology Kharagpur

Papers

Total Citations

H-Index

About

Prakhar Patidar is a researcher at the forefront of agricultural robotics and deep learning, dedicated to solving critical challenges in specialty crop harvesting and orchard management. His work primarily focuses on integrating computer vision and robotic manipulation to automate tasks that have long resisted mechanization. Patidar’s key contributions include developing a deep-learning framework for estimating depth from RGB images, enabling robotic systems to better understand the 3D geometry of apple orchard canopies—a foundational step for precise autonomous navigation and fruit detection. This work, published in 2023, has already garnered 12 citations. He has also made significant strides in robotic harvesting, designing a novel peduncle-holding end effector specifically for mangoes, a crop notoriously difficult to harvest without causing damage. This innovation addresses the persistent issue of fruit bruising and sap-induced infections that plague manual harvesting. Additionally, Patidar has applied the YOLOv7 deep learning model for the rapid and accurate detection of cotton plants in complex field conditions. With a growing citation record and a focus on translating cutting-edge AI into practical, field-ready solutions, Patidar is shaping the future of precision agriculture.