Distributed crop disease detection with deep Q-network agent decision-making in a compressed state space

Crop disease detection is vital for reducing agricultural losses. Traditional centralized methods face challenges with data privacy and model performance. Distributed learning offers a promising alternative, but data imbalance across nodes in agricultural settings often limits its effectiveness. We...

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Bibliographic Details

Main Authors:	Ruijun Yue, Liang He, Ruida Ye, Jiajia Wang, Yongke Li, Tao Bai, Shenghao Gu, Jintai Wang
Format:	Artigo
Language:	Inglês
Published:	KeAi Communications Co., Ltd. 2026-06-01
Series:	Artificial Intelligence in Agriculture
Subjects:	Smart agriculture Crop disease detection Federated learning Deep reinforcement learning
Online Access:	http://www.sciencedirect.com/science/article/pii/S2589721726000280
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