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...

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Bibliographic Details

Published in:	Science of Remote Sensing
Main Authors:	Bala Ram Sapkota, Gurjinder S. Baath, K. Colton Flynn, Kabindra Adhikari, Chad Hajda, Douglas R. Smith
Format:	Article
Language:	English
Published:	Elsevier 2025-12-01
Subjects:	Corn Remote sensing Canopy reflectance Vegetation indices Extra trees regressor
Online Access:	http://www.sciencedirect.com/science/article/pii/S2666017225000732