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Fruit detection in viticulture with deep neural networks

We investigate deep neural networks applied to fruit detection in viticulture. We also developed the Embrapa WGISD dataset, composed of images collected in April 2017/2018 at the Guaspari Winery. Annotated manually, the dataset has 5 different varieties of grape: Syrah, Chardonnay, Cabernet Franc, C...

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Bibliographic Details
Main Authors:	Souza, Leonardo de, Avila, Sandra de, Santos, Thiago dos
Format:	Online
Language:	Portuguese
Published:	Universidade Estadual de Campinas 2019
Subjects:	Grape detection Deep learning Embrapa WGISD dataset
Online Access:	https://econtents.sbu.unicamp.br/eventos/index.php/pibic/article/view/2774
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