Cover Crop Biomass Predictions with Unmanned Aerial Vehicle Remote Sensing and TensorFlow Machine Learning

The continuous assessment of cover crop growth throughout the season is a crucial baseline observation for making informed crop management decisions and sustainable farming operation. Precision agriculture techniques involving applications of sensors and unmanned aerial vehicles provide precise and...

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Detalhes bibliográficos

Principais autores:	Aakriti Poudel, Dennis Burns, Rejina Adhikari, Dulis Duron, James Hendrix, Thanos Gentimis, Brenda Tubana, Tri Setiyono
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-02-01
Colecção:	Drones
Assuntos:	cover crops biomass vegetation indices canopy height TensorFlow deep learning
Acesso em linha:	https://www.mdpi.com/2504-446X/9/2/131
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