V.K. Tewari
Papers
5
Total Citations
114
H-Index
5
About
Dr. V.K. Tewari is a leading researcher at the intersection of precision agriculture and robotics, whose work is fundamentally reshaping cotton harvesting. His primary research areas include deep learning for agricultural perception, robotic manipulator design, and computer vision for in-field crop detection. Dr. Tewari’s major contributions lie in developing end-to-end solutions for selective robotic cotton picking. He pioneered the use of lightweight convolutional neural networks for semantic segmentation of cotton bolls from aerial and ground-based imagery, achieving high accuracy while maintaining computational efficiency—a critical requirement for real-time robotic control. His work on image processing algorithms for in-field boll detection under natural lighting conditions has been foundational, with his most-cited papers accumulating over 100 citations collectively. Notably, Dr. Tewari has advanced beyond simulation, providing in-field performance evaluations of robotic arms and optimizing inverse kinematics using evolutionary algorithms. His research directly addresses the global challenge of farm labor shortages by enabling robots that match the fiber-quality preservation of manual picking with the efficiency of mechanical harvesters. For students and researchers, Dr. Tewari’s work exemplifies how applied AI and robotics can solve pressing agricultural problems, offering a clear blueprint for developing intelligent, autonomous harvesting systems.
Research Focus
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