Somrita Chattopadhyay
Papers
3
Total Citations
62
H-Index
2
About
Somrita Chattopadhyay is a researcher at the forefront of agricultural robotics, specializing in computer vision and 3D sensing for specialty crop automation. Her primary research focuses on developing computational methods to automate the critical but labor-intensive process of dormant pruning in apple orchards—a task traditionally requiring highly skilled manual labor. Chattopadhyay’s major contributions include pioneering the use of time-of-flight (ToF) sensors for 3D modeling of dormant apple trees, creating the first benchmark RGBD dataset specifically for this domain (27 citations), and designing novel visualization tools to evaluate the accuracy of 3D reconstruction algorithms for pruning applications. Her work directly addresses the challenge of translating complex, rule-based pruning decisions into automated systems. With her most cited paper accumulating 33 citations, Chattopadhyay has established foundational resources and methodologies that enable robotic pruning systems to perceive tree architecture accurately. Her research bridges the gap between horticultural science and robotics, offering practical solutions to reduce labor costs and improve efficiency in specialty crop production.
Research Focus
Key Achievements
Top Papers
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