Prediction of Soluble Solid Content in Watermelon using Visible Shortwave Near Infrared Spectroscopy
Publication Date : 07/02/2018
Watermelon is one of the popular tropical fruits in Malaysia. The production of watermelon is increasing over the year. Watermelon contains higher level of the vitamins and minerals. Quality of watermelon can be determined based on soluble solid content (SSC). This quality attribute is important factor by customers before them buying the fruits. However, the conventional method used in the farm was time-consuming, less efficient and non-consistent. So, there are need a robustness, rapid and consistent device, to evaluate the internal quality of watermelon to replace the conventional method. Therefore, the purpose of this study was to investigate the potential application of low cost spectroscopy method to predict sugar content of watermelon. A total of 21 of watermelon samples were studied. The spectral data were collected using spectroscopy in reflectance mode. Then the samples proceeded with SSC measurement. The spectral data were pre-processed for an optimal performance, before the calibration. Partial Least Square (PLS) was used to examine the relationship between spectral data and sugar content. The calibration model produced values of coefficient determination (R2) and root mean square errors (RMSEP) of 0.93 and 0.6 respectively. The prediction models gave good R2 and RMSEC values of 0.90 and 0.42 respectively. These results demonstrating the ability of UVNIR can be used to predict the soluble solid content of watermelon.
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