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

Abstract

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. Keywords: Artificial intelligence, Automated systems, Automated weeding, Weed control.