Mobile App for the Prediction of Bananas Harvest

Paulo Sérgio Barbosa dos Santos; Mariana Matulovic; Marcos  Ribeiro da Silva Vieira; Flávio José  de Oliveira Morais; Angela  Vacaro de Souza

doi:10.31686/ijier.vol8.iss11.2799

Authors

Paulo Sérgio Barbosa dos Santos São Paulo State University - UNESP https://orcid.org/0000-0001-8211-3882
Mariana Matulovic São Paulo State University (Unesp) http://orcid.org/0000-0001-6626-4621
Marcos Ribeiro da Silva Vieira Federal University of Pará
Flávio José de Oliveira Morais São Paulo State University (Unesp) http://orcid.org/0000-0002-7638-1984
Angela Vacaro de Souza São Paulo State University (Unesp) http://orcid.org/0000-0002-4647-2391

DOI:

https://doi.org/10.31686/ijier.vol8.iss11.2799

Keywords:

Agriculture 4.0, Musa acuminata ‘Dwarf Cavendish’, Mathematical modeling, Harvest time

Abstract

This study had the objective to use mathematical modeling of existing functional relationships between meteorological factors and the gestation time of ‘Nanicão’ banana bunches to develop a model capable of predicting the harvest time, through multiple linear regression and apply this theory in a mobile application on the Android platform, in order to assisting producers in decision making.

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Author Biographies

Paulo Sérgio Barbosa dos Santos, São Paulo State University - UNESP

Assistant Professor, Dept. of Biosystems Engineering
Mariana Matulovic, São Paulo State University (Unesp)

Assistant Professor, Dept. of Biosystems Engineering
Marcos Ribeiro da Silva Vieira, Federal University of Pará

Professor, Dept. of Agronomic Engineering
Flávio José de Oliveira Morais, São Paulo State University (Unesp)

Assistant Professor, Dept. of Biosystems Engineering
Angela Vacaro de Souza, São Paulo State University (Unesp)

Assistant Professor, Dept. of Biosystems Engineering

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