Sanket Aralgundagi
Papers
1
Total Citations
1
H-Index
1
About
Sanket Aralgundagi is a rising researcher whose work sits at the intersection of computer vision, robotics, and agricultural automation. His primary contributions focus on developing intelligent systems that replace manual, error-prone processes with automated, machine-driven solutions. His most cited work, “Integration of Computer Vision and 4DOF SCARA Robot Arm for Tomato Sorting” (2024), addresses a critical bottleneck in the fruit industry: the inefficiency and inconsistency of manual visual inspection for sorting. By designing a system that combines a 4-degree-of-freedom SCARA robot arm with advanced computer vision algorithms, Aralgundagi demonstrates how automated fruit recognition and classification can dramatically improve both throughput and accuracy. This research, with its early citation count, signals growing interest in practical, low-cost automation for agriculture. Aralgundagi’s work is particularly notable for its hands-on, systems-level approach—bridging hardware control and software perception—making it directly applicable to real-world sorting facilities. As the demand for precision agriculture and labor-saving technology increases, his contributions offer a scalable blueprint for integrating robotics into post-harvest processing, positioning him as a promising voice in the future of smart farming.
Research Focus
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Top Papers
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