Paper
23 October 2006 Measurement of internal quality of watermelon by Vis/NIR diffuse transmittance technique
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Proceedings Volume 6381, Optics for Natural Resources, Agriculture, and Foods; 63810L (2006) https://doi.org/10.1117/12.685593
Event: Optics East 2006, 2006, Boston, Massachusetts, United States
Abstract
Watermelon is a popular fruit in the world. Soluble solids content (SSC) is major characteristic used for assessing watermelon internal quality. This study was about a method for nondestructive internal quality detection of watermelons by means of visible/Near Infrared (Vis/NIR) diffuse transmittance technique. Vis/NIR transmittance spectra of intact watermelons were acquired using a low-cost commercially available spectrometer when the watermelon was in motion (1.4m/s) and in static state. Spectra data were analyzed by partial least squares (PLS) method. The influences of different data preprocessing and spectra treatments were also investigated. Performance of different models was assessed in terms of root mean square errors of calibration (RMSEC), root mean square errors of prediction (RMSEP) and correlation coefficient (r) between the predicted and measured parameter values. Results showed that spectra data preprocessing influenced the performance of the calibration models and the PLS method can provide good results. The nondestructive Vis/NIR measurements provided good estimates of SSC index of watermelon both in motion and in static state, and the predicted values were highly correlated with destructively measured values. The results indicated the feasibility of Vis/NIR diffuse transmittance spectral analysis for predicting watermelon internal quality in a nondestructive way.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Haiqing Tian, Huirong Xu, Yibin Ying, Huishan Lu, and Haiyan Yu "Measurement of internal quality of watermelon by Vis/NIR diffuse transmittance technique", Proc. SPIE 6381, Optics for Natural Resources, Agriculture, and Foods, 63810L (23 October 2006); https://doi.org/10.1117/12.685593
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KEYWORDS
Calibration

Transmittance

Nondestructive evaluation

Data modeling

Performance modeling

Spectroscopy

Optical filters

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