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- W2886408510 abstract "Abstract. Different spectral ranges of hyperspectral imaging were used in this study for the prediction of quality traits of chicken meat. By comparing the prediction ability of partial least square regression (PLSR) models, it is concluded that the range of visible and near infrared (Vis-NIR, 400-900 nm) is more suitable for the prediction of L* (Rcv=0.93 and RMSEcv=1.59), a* (Rcv=0.89 and RMSEcv=0.38), b* (Rcv=0.86 and RMEcv=0.88), and pH values (Rcv=0.80 and RMEcv=0.15). And near infrared (NIR, 1000-2500 nm) is more suitable for the prediction of drip loss (Rcv=0.72 and RMEcv=0.83), expressible fluid (Rcv=0.57 and RMEcv=2.07), and salt-induced water gain (Rcv=0.72 and RMEcv=18.30). While the predictive abilities of moisture were not good in both two spectral ranges (Rcv" @default.
- W2886408510 created "2018-08-22" @default.
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- W2886408510 date "2018-01-01" @default.
- W2886408510 modified "2023-09-27" @default.
- W2886408510 title "<i>Prediction of quality traits of Chicken Breast Fillets by Different spectral range of Hyperspectral Imaging</i>" @default.
- W2886408510 doi "https://doi.org/10.13031/aim.201800828" @default.
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