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

• Grant number: 21/08901-3
• Support Opportunities: Scholarships in Brazil - Technical Training Program - Technical Training
• Start date: September 01, 2021
• End date: August 31, 2023
• Field of knowledge: Agronomical Sciences - Agronomy - Crop Science
• Principal Investigator: Angela Vacaro de Souza
• Grantee: Vitória Ferreira da Silva Fávaro
• Host 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

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. (20/01711-1, 21/08901-3, 20/01166-3, 20/14166-1)

ANGELA VACARO DE SOUZA; JÉSSICA MARQUES DE MELLO; VITÓRIA FERREIRA DA SILVA FAVARO; FERNANDO FERRARI PUTTI. Software para classificação do estado de maturação da banana utilizando aprendizado de máquina. Revista Brasileira de Fruticultura, v. 46, 2024-06-07. (20/14166-1, 21/08901-3, 20/01711-1)