Predicting of the Quality Attributes of Orange Fruit Using Hyperspectral Images

نویسندگان
Aredo , V. ID 1
Velásquez, L. ID 2
Carranza-Cabrera, J. ID 3
Siche , R. ID 4

1 Food Engineering Graduate Program, Faculty of Animal Science and Food Engineering, University of São Paulo (USP), Pirassununga, São Paulo, 13635-900, Brazil

2 Food Engineering Graduate Program, Faculty of Animal Science and Food Engineering, University of São Paulo (USP), Pirassununga, São Paulo, 13635-900, Brazil

3 Facultad de Ciencias Agropecuarias, Universidad Nacional de Trujillo. Av. Juan Pablo II s/n. Ciudad Universitaria, Trujillo, Peru

4 Facultad de Ciencias Agropecuarias, Universidad Nacional de Trujillo. Av. Juan Pablo II s/n. Ciudad Universitaria, Trujillo, Peru

doi
10.18502/jfqhc.6.3.1381
چکیده

Background: Hyperspectral image analysis is a fast and non-destructive technique that is being used to measure quality attributes of food products. This research investigated the feasibility of predicting internal quality attributes, such as Total Soluble Solids (TSS), pH, Titratable Acidity (TA), and maturity index (TSS/TA); and external quality attributes such as ...

کلیدواژه‌ها
Spectrum Analysis, Citrus, Quality Control, Food Technology