Abdul Rahim, Herlina and Seng, Chia Kim and Abdul Rahim, Ruzairi (2014) Analysis for soluble solid contents in pineapples using NIR spectroscopy. Jurnal Teknologi (Sciences and Engineering), 69 (8). pp. 7-11. ISSN 0127-9696
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Official URL: http://dx.doi.org/10.11113/jt.v69.3288
Abstract
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
Item Type: | Article |
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Uncontrolled Keywords: | pineapples, principal component regression, soluble solid contents, VIS-SWNIR |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Electrical Engineering |
ID Code: | 51824 |
Deposited By: | Siti Nor Hashidah Zakaria |
Deposited On: | 01 Feb 2016 03:52 |
Last Modified: | 27 Aug 2018 03:24 |
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