C.M. Pareek
Papers
3
Total Citations
90
H-Index
3
About
C.M. Pareek is a leading researcher in agricultural robotics and precision agriculture, with a primary focus on developing computer vision and deep learning solutions for automated harvesting. Their work addresses critical labor shortages and safety concerns in manual crop harvesting by enabling robots to perceive and interact with crops in complex field environments. Pareek’s major contributions include pioneering the use of deep convolutional neural networks for semantic segmentation of in-field cotton bolls from aerial imagery, achieving 32 citations, and developing image processing algorithms for robust cotton boll detection under natural lighting conditions (31 citations). These innovations aim to maintain fiber quality while minimizing harvesting losses. Additionally, Pareek introduced attention-guided Faster R-CNN for detecting coconut clusters under varying occlusion conditions (27 citations), a key step toward autonomous coconut harvesting with tree-climbing robots. Collectively, their work has garnered over 90 citations, demonstrating significant impact in agricultural automation. By combining state-of-the-art computer vision with practical robotic applications, Pareek is helping to shape a future where harvesting is safer, more efficient, and less dependent on manual labor.
Research Focus
Key Achievements
Top Papers
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