Journal of Biosystems Engineering

Korean Society for Agricultural Machinery (한국농업기계학회)
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Comparison of Performance of Measuring Method of VIS/NIR Spectroscopic Spectrum to Predict Soluble Solids Content of 'Shingo' Pear

VIS/NIR 스펙트럼 측정모드에 따른 신고 배의 당도 예측성능 비교

  • Suh, Sang-Ryong (Institute of Agricultural Science and Technology, College of Agric. & Life Science, Chonnam Nat'l University) ;
  • Lee, Kyeong-Hwan (Institute of Agricultural Science and Technology, College of Agric. & Life Science, Chonnam Nat'l University) ;
  • Yu, Seung-Hwa (Institute of Agricultural Science and Technology, College of Agric. & Life Science, Chonnam Nat'l University) ;
  • Yoo, Soo-Nam (Institute of Agricultural Science and Technology, College of Agric. & Life Science, Chonnam Nat'l University) ;
  • Choi, Yeong-Soo (Institute of Agricultural Science and Technology, College of Agric. & Life Science, Chonnam Nat'l University)
  • Received : 2011.03.10
  • Accepted : 2011.04.11
  • Published : 2011.04.25
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Abstract

Three modes of VIS/NIR spectroscopic measurement (interactance and two modes of transmission) were compared for their ability to estimate soluble solids content (SSC) of 'Shingo' pear non-destructively. The two transmission modes are named as full- and semi-transmission, where full-transmission stands for passing of light through abdomen of pear and semi-transmission is for transit of light mainly through flesh of pear. For comparison of the modes, prediction models developed from the collected spectroscopic data by the three modes were developed and tested for comparison of their performance. Partial least square regression (PSLR) was used to develop the models and various pre-processing methods were applied to develop models of high accuracy. The experiment was repeated three times with pears produced in different regions. The experiments resulted that selection of pre-processing is very important to attain accurate models, and multiplicative scatter correction (MSC) was selected as a pre-processor of high accuracy for the three modes of spectroscopic measurement in every experiment. Except for MSC, different group of pre-processing methods were selected for the three modes of measurement in every experiment without any tendency to the tested modes of measurement and pears of different produced region. Root-mean-square error of prediction (RMSEP) of prediction models of the three modes of measurement using prepreocessor of MSC were compared for their ability to estimate SSC. The models resulted in ranges of $0.37{\sim}0.57^{\circ}Brix$, $0.65{\sim}0.72^{\circ}Brix$, $0.39{\sim}0.51^{\circ}Brix$ for interactance, full- and semi-transmission, respectively. As shown, modes of semi-transmission and interactance resulted about the same level of prediction accuracy and were noted as modes of high performance to predict SSC.

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References

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