Support vector machines in tandem with infrared spectroscopy for geographical classification of green arabica coffee

• Published in: Food science & technology Vol. 76; pp. 330 - 336
• Main Authors: Bona, Evandro, Marquetti, Izabele, Link, Jade Varaschim, Makimori, Gustavo Yasuo Figueiredo, da Costa Arca, Vinícius, Guimarães Lemes, André Luis, Ferreira, Juliana Mendes Garcia, dos Santos Scholz, Maria Brígida, Valderrama, Patrícia, Poppi, Ronei Jesus
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.03.2017
• Subjects: Genetic algorithm; Machine learning; Mid infrared; Near infrared; Mid infrared; Genetic algorithm; Near infrared; Machine learning

The coffee is an important commodity to Brazil. Species, climate, genotypes, cultivation practices and industrialization are critical to final quality of the beverage. Thus, the development of analytical methods for coffee authentication is important to ensure the origin of the bean. The purpose of...