Estimating Crop Nitrogen Uptake from UAV-Based Imagery Using Machine Learning Techniques

Unmanned Aerial Vehicle (UAV)-based remote sensing using high-throughput spectral imaging has emerged as an effective non-destructive alternative for large-scale agricultural monitoring. This study evaluates the performance of UAV-based multispectral (MSI) and hyperspectral (HSI) imaging combined wi...

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Detalles Bibliográficos

Principais autores:	Amir M. Chegoonian, Keshav D. Singh, Charles M. Geddes, Christian Hansen, Louis J. Molnar, Manoj Natarajan
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2026-06-01
Series:	Remote Sensing
Assuntos:	hyperspectral imaging machine learning multispectral imaging nitrogen uptake unmanned aerial vehicle
Acceso en liña:	https://www.mdpi.com/2072-4292/18/13/2106
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