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MODELING OF ARTIFICIAL NEURAL NETWORKS APPLIED TO THE MATURATION PREDICTION FROM BANANAS QUALITY PARAMETERS

Grant number: 21/08901-3
Support type:Scholarships in Brazil - Technical Training Program - Technical Training
Effective date (Start): September 01, 2021
Effective date (End): June 30, 2023
Field of knowledge:Agronomical Sciences - Agronomy - Crop Science
Principal researcher:Angela Vacaro de Souza
Grantee:Vitória Ferreira da Silva Fávaro
Home Institution: Faculdade de Ciências e Engenharia. Universidade Estadual Paulista (UNESP). Campus de Tupã. Tupã , SP, Brazil
Associated research grant:20/14166-1 - Modeling of artificial neural networks applied to the maturation prediction from bananas quality parameters, AP.R
News published in Agência FAPESP Newsletter about the scholarship:
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Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
DE SOUZA, ANGELA VACARO; DE MELLO, JESSICA MARQUES; DA SILVA FAVARO, VITORIA FERREIRA; DOS SANTOS, TAYLA GABRIELLY FERREIRA; DOS SANTOS, GABRIEL PEREIRA; DE LUCCA SARTORI, DIOGO; FERRARI PUTTI, FERNANDO. Metabolism of bioactive compounds and antioxidant activity in bananas during ripening. JOURNAL OF FOOD PROCESSING AND PRESERVATION, v. 45, n. 11 SEP 2021. Web of Science Citations: 0.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.