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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Váldodahkkit:	Jonghan Ko, Taehwan Shin, Jiwoo Kang, Jaekyeong Baek, Wan-Gyu Sang
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	Frontiers Media S.A. 2024-02-01
Ráidu:	Frontiers in Plant Science
Fáttát:	crop leaf area index machine learning modeling remote sensing rice
Liŋkkat:	https://www.frontiersin.org/articles/10.3389/fpls.2024.1320969/full
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