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On-line Spectral Measurement System for Pineapple Quality
( Semyalo Dennis ),( Collins Wakholi ),( Byoung-kwan Cho ) 한국농업기계학회 2021 한국농업기계학회 학술발표논문집 Vol.26 No.2
Translucency is a physiological disorder undesirable in Pineapples. In this condition, the internal flesh of pineapple fruit shows water-soaking appearance, is prone to diseases, and is susceptible to mechanical damage, thus significantly reducing its quality. The study was aimed at developing a on-line spectral measurement software to identify the translucency level in pineapples. The software was developed in C++ programming language for fast processing during on-line measurements and analysis. A total of 172 pineapple fruits were used for on-line spectral data collection with a spectral range of 200-1100 nm. The reference data for translucency level was obtained from the RGB color images of internal flesh of pineapple fruit. The level of translucency was graded on a scale of 1 (no translucency) to 3 (very translucent). A partial least squares-discriminant analysis (PLS-DA) model was created using a C++ custom developed software. A sample size of 138 and 34 pineapples were used as the calibration and validation sets respectively. The PLS-DA classification accuracy achieved for the calibration and validation set was 79% and 78% respectively. The study indicates that there is potential to identify the level of translucency for intact pineapples in real-time.
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