Aplicativo móvel para previsão de produtividade de café

• Autor(a) principal: FERNANDES, Marcelo M. P.
• Data de Publicação: 2015
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Biblioteca Digital de Teses e Dissertações da UNIFENAS
• Texto Completo: http://tede2.unifenas.br:8080/jspui/handle/jspui/162
• topic: Previsão de safras; aplicativo para dispositivos móveis; android.; Mobile app; coffe crop prediction; android.; CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO

The crop prediction is a strategic activity for agribusiness because it enables the decision-making relative to various points in the production chain. In this context, the objective of this paper was to develop a software that implements the mathematical model of coffee crops prediction based on phenological indices of production established and tested by Reinato (2012) and Miranda et al. (2014). For this purpose it developed a mobile application for the Android platform that has as main features: 1) registration of farms and plots, with the possibility of calculating the area of plots through the GPS device; 2) productivity prediction calculation: implementing a mathematical model, which is composed by calculating the value of production phenological indices followed by a linear regression that converts the indice into sacks per hectare, generating also the prediction confidence interval and 3) reports consultation of previously made predictions. The application was developed and tested in the farming, and the results obtained by the application are consistent with those obtained by Reinato (2012) and Miranda et al. (2014).