Authentication of indigenous Brazilian specialty Canephora coffees using smartphone image analysis.
Authentication of indigenous Brazilian specialty Canephora coffees using smartphone image analysis.
Author(s): 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.
Summary: 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.
Publication year: 2024
Types of publication: Journal article
Unit: Embrapa Rondônia
Keywords: Amazônia Ocidental, Análise de Dados, Análise multivariada, Café Robusta, Características Agronômicas, Certificação de Produto, Coffea Canephora, Color histogram, Conilon Capixaba, Distribuição Geográfica, Espírito Santo, Geographical distribution, Grain quality, Grão, Multivariate analysis, Método Estatístico, Product certification, Qualidade, Região Sudeste, Rondônia, Smartphone, Southeast, Western Amazon
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