Developing an Uncrewed Aerial Vehicle (UAV)-Based Prediction Model for the Rice Harvest Index Using Machine Learning

(1) Background: The harvest index is important for measuring the correlation between grain yield and aboveground biomass. However, the harvest index can only be measured after a mature harvest. If it can be obtained in advance during the growth period, it will promote research on high harvest indice...

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Bibliographic Details

Published in:	Agriculture
Main Authors:	Zhaoyang Pan, Zhanhua Lu, Liting Zhang, Wei Liu, Xiaofei Wang, Shiguang Wang, Hao Chen, Haoxiang Wu, Weicheng Xu, Youqiang Fu, Xiuying He
Format:	Article
Language:	English
Published:	MDPI AG 2025-04-01
Subjects:	rice harvest index UAV remote sensing machine learning
Online Access:	https://www.mdpi.com/2077-0472/15/9/971