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Frontier: Autonomy in Detection, Actuation, and Planning for Robotic Weeding Systems

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org

Citation:  Transactions of the ASABE. 64(2): 557-563. (doi: 10.13031/trans.14085) @2021
Authors:   Piyush Pandey, Hemanth Narayan Dakshinamurthy, Sierra N. Young
Keywords:   Artificial intelligence, Automated systems, Automated weeding, Weed control.

Highlights

Recent research and development efforts center around developing smaller, portable robotic weeding systems.

Deep learning methods have resulted in accurate, fast, and robust weed detection and identification.

Additional key technologies under development include precision actuation and multi-vehicle planning.

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