Analysis for soluble solid contents in pineapples using NIR spectroscopy

• Main Authors: Abdul Rahim, Herlina, Seng, Chia Kim, Abdul Rahim, Ruzairi
• Format: Article
• Language: English
• Published: Penerbit UTM 2014
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/51824/1/HerlinaAbdulRahim2014_Analysisforsolublesolidcontents.pdf; http://eprints.utm.my/id/eprint/51824/; http://dx.doi.org/10.11113/jt.v69.3288

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