A Deep Learning Approach for Precision Viticulture, Assessing Grape Maturity via YOLOv7

In the viticulture sector, robots are being employed more frequently to increase productivity and accuracy in operations such as vineyard mapping, pruning, and harvesting, especially in locations where human labor is in short supply or expensive. This paper presents the development of an algorithm f...

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Detalles Bibliográficos

Principais autores:	Eftichia Badeka, Eleftherios Karapatzak, Aikaterini Karampatea, Elisavet Bouloumpasi, Ioannis Kalathas, Chris Lytridis, Emmanouil Tziolas, Viktoria Nikoleta Tsakalidou, Vassilis G. Kaburlasos
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2023-09-01
Series:	Sensors
Assuntos:	grape maturity detection object detection maturity estimation YOLO
Acceso en liña:	https://www.mdpi.com/1424-8220/23/19/8126
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