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| SAHACHAIRUNGRUENG, WORANITTA; TEERACHAICHAYUT, SONTISUK. |
| Near infrared hyperspectral imaging (NIR-HSI) is a method that can be used to evaluate quality of fruit nondestructively. The objective of this research was to study the feasibility of NIR-HSI reflectance mode, within the wavelength of 935-1720 nm, for predicting quality of longans. The two important factors chosen were: total soluble solids (TSS) and moisture content (MC). Each longan was assessed by first measuring its spectral data then measuring its TSS and MC to establish calibration models using multiple linear regression (MLR) compared with partial least squares regression (PLSR). Original spectra of longans gave the optimum results by PLSR for developing the models with correlation coefficients (Rp) of 0.76 for TSS and 0.88 for MC as well as root... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Spectra; Nondestructive; Calibration; Prediction; Images. |
| Ano: 2022 |
URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/7203 |
