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Automated detection of grapes and leaves in viticulture with a YOLOv2 neural network

In this work, we modeled the problem of detection of fruit and leaves in viticulture for proximal applications as a supervised machine learning task. We created and manually labeled a database of images obtained at Guaspari Winery. In total, the database consists of 11.883 images of bunch of grapes...

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Detalhes bibliográficos
Principais autores:	Santos, Andreza Aparecida dos, Avila, Sandra Eliza Fontes de, Santos, Thiago Teixeira dos
Formato:	Online
Idioma:	inglês
Publicado em:	Universidade Estadual de Campinas 2018
Assuntos:	Fruit detection Viticulture Deep learning.
Acesso em linha:	https://econtents.sbu.unicamp.br/eventos/index.php/pibic/article/view/155
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