Remote Sensing Data Assimilation in Crop Growth Modeling from an Agricultural Perspective: New Insights on Challenges and Prospects

The frequent occurrence of global climate change and natural disasters highlights the importance of precision agricultural monitoring, yield forecasting, and early warning systems. The data assimilation method provides a new possibility to solve the problems of low accuracy of yield prediction, stro...

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Bibliographic Details

Published in:	Agronomy
Main Authors:	Jun Wang, Yanlong Wang, Zhengyuan Qi
Format:	Article
Language:	English
Published:	MDPI AG 2024-08-01
Subjects:	remote sensing crop growth model data assimilation precision agricultures
Online Access:	https://www.mdpi.com/2073-4395/14/9/1920