Anjana Nellithimaru

Papers

Total Citations

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About

Anjana Nellithimaru is a roboticist whose work sits at the intersection of agricultural automation, computer vision, and field robotics. Her most impactful research tackles one of viticulture’s most pressing challenges: the shortage of skilled labor for dormant-season grapevine pruning. In her highly cited 2022 paper, “Bumblebee: A Path Towards Fully Autonomous Robotic Vine Pruning” (46 citations), Nellithimaru introduced a complete pipeline for autonomous pruning, integrating perception, planning, and manipulation. She demonstrated how a robotic system could identify pruning points, navigate complex vine canopies, and execute cuts with precision—addressing the inconsistency and vine imbalance caused by rushed human workers. Her contributions go beyond hardware; she has advanced the use of deep learning for agricultural scene understanding, enabling robots to adapt to unstructured outdoor environments. Nellithimaru’s work is a cornerstone in the push toward fully autonomous farming, with implications for labor sustainability and crop quality. Her research has been recognized within the robotics and agricultural engineering communities, and her Bumblebee system remains a benchmark for field-deployable pruning robots.