Estimating Leaf Chlorophyll Content of Winter Wheat from UAV Multispectral Images Using Machine Learning Algorithms under Different Species, Growth Stages, and Nitrogen Stress Conditions

The rapid and accurate estimation of leaf chlorophyll content (LCC), an important indicator of crop photosynthetic capacity and nutritional status, is of great significance for precise nitrogen fertilization management. To explore the existence of a versatile regression model that can be successfull...

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Autores principales:	Liyuan Zhang, Aichen Wang, Huiyue Zhang, Qingzhen Zhu, Huihui Zhang, Weihong Sun, Yaxiao Niu
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2024-07-01
Colección:	Agriculture
Materias:	chlorophyll content UAV multispectral images machine learning regression winter wheat model generalization ability
Acceso en línea:	https://www.mdpi.com/2077-0472/14/7/1064
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