Mobile App for the Prediction of Bananas Harvest

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

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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How to Cite
Barbosa dos Santos, P. S., Matulovic, M., Ribeiro da Silva Vieira, M. ., de Oliveira Morais, F. J. ., & Vacaro de Souza, A. . (2020). Mobile App for the Prediction of Bananas Harvest. International Journal for Innovation Education and Research, 8(11), 646–669. https://doi.org/10.31686/ijier.vol8.iss11.2799
Section
Articles
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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