Analysis for Soluble Solid Contents in Pineapples using NIR Spectroscopy
DOI:
https://doi.org/10.11113/jt.v69.3288Keywords:
VIS-SWNIR, soluble solid contents, pineapples, principal component regressionAbstract
This research investigates the use of predictive models and a low cost spectroscopy in non-invasive Soluble Solids Content (SSC) assessment. The challenge is to model complex and high-dimensional spectral data. Results indicate that the SSC prediction of pineapples harvested on different days using the proposed approach is promising. The second study evaluates common pre-processing practices. Findings indicate that the best accuracy would be achieved when visible spectrum was excluded, second order Savitzky-Golay derivative with the optimal filter length was used, and the absorbance transformation was avoided.
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