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...

وصف كامل

التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	Ruijun Yue, Liang He, Ruida Ye, Jiajia Wang, Yongke Li, Tao Bai, Shenghao Gu, Jintai Wang
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	KeAi Communications Co., Ltd. 2026-06-01
سلاسل:	Artificial Intelligence in Agriculture
الموضوعات:	Smart agriculture Crop disease detection Federated learning Deep reinforcement learning
الوصول للمادة أونلاين:	http://www.sciencedirect.com/science/article/pii/S2589721726000280
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!