Authentication of indigenous Brazilian specialty Canephora coffees using smartphone image analysis.
2024
BAQUETA, M. R. | POSTIGO, M. P. | ALVES, E. A. | MORAES NETO, V. F. DE | VALDERRAMA, P. | PALLONE, J. A. L. | DINIZ, P. H. G. D. | MICHEL ROCHA BAQUETA, UNIVERSIDADE ESTADUAL DE CAMPINAS; MATHEUS PEREIRA POSTIGO, UNIVERSIDADE TECNOLÓGICA FEDERAL DO PARANÁ; ENRIQUE ANASTACIO ALVES, CPAF-RO; VENANCIO FERREIRA DE MORAES NETO, UNIVERSIDADE ESTADUAL DE CAMPINAS; PATRÍCIA VALDERRAMA, UNIVERSIDADE TECNOLÓGICA FEDERAL DO PARANÁ; JULIANA AZEVEDO LIMA PALLONE, UNIVERSIDADE ESTADUAL DE CAMPINAS; PAULO HENRIQUE GONÇALVES DIAS DINIZ, UNIVERSIDADE FEDERAL DO OESTE DA BAHIA.
The prevention of coffee fraud through the use of digital and intelligence-based technologies is an analytical challenge because depending on the adulterant, visual inspection is unreliable in roasted and ground coffee due to the similarity in color and texture of the materials used. In this work, a 3D-printed apparatus for smartphone image acquisiton is proposed.
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