Tejas Badkhal

Papers

Total Citations

H-Index

About

Tejas Badkhal is a researcher in agricultural robotics and precision automation, with a focus on developing intelligent systems for sustainable farming. His most cited work, "Automatic Weed Killing Robot for Agriculture Purpose and Insect Killing" (2019), provides a comprehensive review of autonomous robotic weed control technologies, identifying plant detection and crop-versus-weed classification as the primary technical challenges for effective weeding mechanisms. Badkhal’s analysis underscores the need for further development in precision weed control methods, contributing to the broader goal of reducing chemical herbicide use. With 2 citations, this paper serves as a foundational reference for engineers and agronomists exploring robotic solutions for pest management. His research bridges robotics, computer vision, and agri-tech, aiming to enhance crop yield while minimizing environmental impact. Badkhal’s work is particularly relevant for students and researchers interested in the intersection of automation and ecology, offering a clear roadmap for advancing autonomous agricultural systems. His contributions highlight the critical role of robust classification algorithms in enabling reliable, field-deployable weeding robots.