arxivcs.CV2026-07-17
WeedExpert-R1: Incentivizing Botanical Reasoning in MLLMs with Reinforcement Learning for Precision Weed Grounding
Zonglin Yang, Wei-Zhen Liang, Nevin Lawrence, Xin Qiao, Benjamin Riggan, Chi-En Chiang, et al.
Precision weed control requires species-level identification and instance-level localization. However, conventional object detectors use a closed vocabulary, limiting their deployment across regions, and cannot explain their predictions in complex agricultural scenes. Multimodal…