Non‐invasive setup for grape maturation classification using deep learning-Reference-Cited by-同舟云学术

Non‐invasive setup for grape maturation classification using deep learning

Author:

Ramos Rodrigo P¹^ORCID,Gomes Jéssica S¹,Prates Ricardo M¹,Simas Filho Eduardo F²,Teruel Barbara J³,Santos Costa Daniel⁴

Affiliation:

1. College of Electrical Engineering Federal University of São Francisco Valley (Univasf) Juazeiro Brazil

2. Department of Electrical Engineering Federal University of Bahia (UFBA) Salvador Brazil

3. College of Agricultural Engineering State University of Campinas (UNICAMP) Campinas Brazil

4. College of Agricultural and Environmental Engineering Federal University of São Francisco Valley (Univasf) Juazeiro Brazil

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Wiley

Subject

Nutrition and Dietetics,Agronomy and Crop Science,Food Science,Biotechnology

Link

Reference23 articles.

1. Environmental and management practices affecting grape composition and wine quality – a review;Jackson D;Am J Enol Vitic,1993

3. Digital image processing of palm oil fruits;Choong TSY;Int J Food Eng,2006

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