In this study a Hyperspectral Imaging System (Short Wave Infrared range from 1000 to 2500
nm) was used to model fish texture by experimental compression test. Partial Least SquareDiscriminate
Analysis modeling technique was used for classifying the samples by linking the
hyperspectral information and their measured texture. The R2 of cross validation and prediction
were 0.97 and 0.96, respectively. The Root Mean Squared Errors for cross validation and
prediction were 0.07 and 0.09, respectively. Sensitivity and specificity for both class I and II
were 1.00. Results indicated that hyperspectral imaging in SWIR range has ability to detect
texture stiffness of rainbow trouts which is affected by freshness.