A Deep Learning Application to Map Weed Spatial Extent from Unmanned Aerial Vehicles Imagery

Weed infestation is a global threat to agricultural productivity, leading to low yields and financial losses. Weed detection, based on applying machine learning to imagery collected by Unmanned Aerial Vehicles (UAV) has shown potential in the past; however, validation on large data-sets (e.g., acros...

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Principais autores:	Paolo Fraccaro, Junaid Butt, Blair Edwards, Robert P. Freckleton, Dylan Z. Childs, Katharina Reusch, David Comont
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2022-08-01
Series:	Remote Sensing
Assuntos:	deep learning image segmentation unmanned aerial vehicle weed detection black-grass
Acceso en liña:	https://www.mdpi.com/2072-4292/14/17/4197
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