Historical milk production performance in São Paulo State municipalities between 2005 and 2015 using Artificial Intelligence

Historical milk production performance in São Paulo State municipalities between 2005 and 2015 using Artificial Intelligence

Patrícia de Freitas Pelozo, Rafael Medeiros Hespanhol

This study analyzes the use of Artificial Intelligence on milk production chain, aiming at identifying patterns of their characteristics in 645 municipalities of the State of São Paulo taking into account produced milk categories. Using information from secondary sources, it was used the Optimum-Path Forest method (OPF) to identify milk production characteristics clusters. The analyzed data were the amount of milk produced in the rural properties according to their categories regarding quality making possible to suggest training adequacies and public bodies actions regarding rural producers, more focused on the reality of each municipality and secondarily, it was possible to test the OPF use as a decision-making tool at the agroindustrial sector.

2016

Cadeias Produtiva, Clusterização, Floresta de Caminhos Ótimos, leite

Revista Eletrônica Competências Digitais para Agricultura Familiar

Universidade Estadual Paulista Júlio de Mesquita Filho

Agriculture (General)