Machine learning in classification and identification of nonconventional vegetables-Reference-Cited by-同舟云学术

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Machine learning in classification and identification of nonconventional vegetables

Published:2020-11-10 Issue:12 Volume:85 Page:4194-4200
ISSN:0022-1147
Container-title:Journal of Food Science
language:en
Short-container-title:Journal of Food Science

Author:

Ossani Paulo César¹^ORCID,Souza Douglas Correa²^ORCID,Rossoni Diogo Francisco¹^ORCID,Resende Luciane Vilela²^ORCID

Affiliation:

1. Department of Statistics State University of Maringá Av. Colombo, 5790, Bloco E‐90, University Campus Maringá Paraná 87020‐900 Brazil

2. Department of Agriculture Federal University of Lavras UFLA, University Campus, s/n, mailbox 3037 Lavras MG 37200‐000 Brazil

Publisher

Wiley

Subject

Food Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/1750-3841.15514

Reference46 articles.

1. Instance-based learning algorithms

2. Nutricional de hortaliças folhosas não convencionais cultivadas no Bioma Cerrado;Botrel N.;Brazilian Journal of Food Technology,2020

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3. Anatomical, karyotypic, and nuclear DNA content studies in four morphotypes of wild lettuce;Ciência e Agrotecnologia;2024

4. Detection of adulteration in mutton using digital images in time domain combined with deep learning algorithm;Meat Science;2022-10

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