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Mobile App for the Prediction of Bananas Harvest

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

 

Author Biographies
  1. Paulo Sérgio Barbosa dos Santos, São Paulo State University - UNESP

    Assistant Professor, Dept. of Biosystems Engineering

  2. Mariana Matulovic, São Paulo State University (Unesp)

    Assistant Professor, Dept. of Biosystems Engineering

  3. Marcos Ribeiro da Silva Vieira, Federal University of Para

    Professor, Dept. of Agronomic Engineering

  4. Flávio José de Oliveira Morais, São Paulo State University (Unesp)

    Assistant Professor, Dept. of Biosystems Engineering

  5. Angela Vacaro de Souza, São Paulo State University (Unesp)

    Assistant Professor, Dept. of Biosystems Engineering

References

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Published
2020-11-01
Issue
Vol. 8 No. 11 (2020): International Journal for Innovation Education and Research
Section
Journal Articles
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Copyright (c) 2020 Paulo Sérgio Barbosa dos Santos, Mariana Matulovic, Marcos Ribeiro da Silva Vieira, Flávio José de Oliveira Morais, Angela Vacaro de Souza

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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