Click on “Download PDF” for the PDF version or on the title for the HTML version.

If you are not an ASABE member or if your employer has not arranged for access to the full-text, Click here for options.

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

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

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.


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.

(Download PDF)    (Export to EndNotes)