Sushanth Jayanth

Papers

Total Citations

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About

Sushanth Jayanth is a researcher advancing the frontier of agricultural robotics, with a primary focus on robotic perception and manipulation for specialty crops. His key research areas include 3D computer vision, skeletonization, and automated pruning systems for complex, real-world vineyard environments. Jayanth’s major contribution lies in developing robust perception algorithms that can handle the intricate, non-planar architecture of dormant grapevines—a critical step toward practical robotic pruning in commercial vineyards. His most-cited work, "3D Skeletonization of Complex Grapevines for Robotic Pruning" (2023), directly addresses the gap between simplified lab setups and the messy reality of field-grown vines, laying the groundwork for automated systems that can promote vine balance and grape quality. While his citation count is still growing, this foundational paper has already garnered attention for its practical approach to a longstanding bottleneck in agricultural robotics. Jayanth’s work is notable for its emphasis on translating cutting-edge computer vision into deployable solutions, making him a promising voice in the push toward sustainable, precision agriculture.