Combining machine learning and remote sensing-integrated crop modeling for rice and soybean crop simulation

Combining machine learning and remote sensing-integrated crop modeling for rice and soybean crop simulation

Machine learning (ML) techniques offer a promising avenue for improving the integration of remote sensing data into mathematical crop models, thereby enhancing crop growth prediction accuracy. A critical variable for this integration is the leaf area index (LAI), which can be accurately assessed usi...

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Bibliographic Details
Main Authors: Jonghan Ko, Taehwan Shin, Jiwoo Kang, Jaekyeong Baek, Wan-Gyu Sang
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-02-01
Series:Frontiers in Plant Science
Subjects:
crop
leaf area index
machine learning
modeling
remote sensing
rice
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2024.1320969/full

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