Open AccessMobile App for the Prediction of Bananas Harvest
Author(s) -
Paulo Sérgio Barbosa dos Santos,
Mariana Matulovic,
Marcos Ribeiro da Silva Vieira,
Flávio José de Oliveira Morais,
Angela Vacaro de Souza
Publication year - 2020
Language(s) - English
Resource type - Journals
ISSN - 2411-2933
DOI - 10.31686/ijier.vol8.iss11.2799
Subject(s) - android (operating system) , open access journal , computer science , regression analysis , linear regression , mobile apps , order (exchange) , machine learning , world wide web , biology , business , operating system , biochemistry , medline , finance , scopus
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.