Multi-Unmanned Aerial Vehicle Agricultural Inspection System Based on Federated Learning
Author:
Affiliation:
1. School of Information and Communication Engineering), Beijing University of Posts and Telecommunications,Beijing,China
2. School of Electronic Engineering, Beijing University of Posts and Telecommunications,Beijing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10602771/10602729/10602809.pdf?arnumber=10602809
Reference37 articles.
1. Multisensor approach to assess vineyard thermal dynamics combining high-resolution unmanned aerial vehicle (UAV) remote sensing and wireless sensor network (WSN) proximal sensing
2. Very high resolution crop surface models (CSMs) from UAV-based stereo images for rice growth monitoring In Northeast China
3. Advanced UAV–WSN System for Intelligent Monitoring in Precision Agriculture
4. Multimodal Deep Learning for Rice Yield Prediction Using UAV-Based Multispectral Imagery and Weather Data
5. Gradient-based learning applied to document recognition
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