Federated Learning for Heterogeneous Multi-Site Crop Disease Diagnosis

Federated Learning for Heterogeneous Multi-Site Crop Disease Diagnosis

Crop diseases can significantly impact crop growth and production, often leading to a severe economic burden for rice farmers. These diseases can spread rapidly over large areas, making it challenging for farmers to detect and manage them effectively and promptly. Automated methods for disease class...

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Bibliographic Details
Main Authors: Wesley Chorney, Abdur Rahman, Yibin Wang, Haifeng Wang, Zhaohua Peng
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Mathematics
Subjects:
rice
crop disease
federated learning
privacy
data sharing
Online Access:https://www.mdpi.com/2227-7390/13/9/1401
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