Machine learning algorithms for maize yield prediction with multispectral imagery: Assessing robustness across varied growing environments

Multispectral imagery acquired via Unmanned Aircraft Systems (UAS) can provide an on-demand and cost-effective approach to crop yield estimation. Traditional methods relying solely on vegetation indices (VIs) for yield prediction face challenges such as saturation in dense canopies, like those of ma...

书目详细资料
发表在:	Science of Remote Sensing
Main Authors:	Bala Ram Sapkota, Gurjinder S. Baath, K. Colton Flynn, Kabindra Adhikari, Chad Hajda, Douglas R. Smith
格式:	文件
语言:	英语
出版:	Elsevier 2025-12-01
主题:	Corn Remote sensing Canopy reflectance Vegetation indices Extra trees regressor
在线阅读:	http://www.sciencedirect.com/science/article/pii/S2666017225000732

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