Improving rice yield prediction with multi-modal UAV data: hyperspectral, thermal, and LiDAR integration

Rice yield prediction is critical for ensuring food security, particularly in major rice-producing countries like China. While Unmanned Aerial Vehicles (UAVs) equipped with hyperspectral imaging are widely used for yield prediction due to its ability to capture detailed spectral information, they ma...

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Bibliographic Details

Published in:	Geo-spatial Information Science
Main Authors:	Shaofeng Tan, Jie Pei, Yaopeng Zou, Huajun Fang, Tianxing Wang, Jianxi Huang
Format:	Article
Language:	English
Published:	Taylor & Francis Group 2025-07-01
Subjects:	Unmanned Aerial Vehicles (UAV) crop yield prediction multi-source data rice
Online Access:	https://www.tandfonline.com/doi/10.1080/10095020.2025.2535524