Journal of Biosystems Engineering

Korean Society for Agricultural Machinery (한국농업기계학회)
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Comparison of Performance of Models to Predict Hardness of Tomato using Spectroscopic Data of Reflectance and Transmittance

토마토 반사광과 투과광 스펙트럼 분석에 의한 경도 예측 성능 비교

  • Kim, Young-Tae (Institute of Agricultural Science and Technology, College of Agriculture & Life Sciences, Chonnam National University) ;
  • Suh, Sang-Ryong (Institute of Agricultural Science and Technology, College of Agriculture & Life Sciences, Chonnam National University)
  • Published : 2008.02.25
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Abstract

This study was carried out to find a useful method to predict hardness of tomato using optical spectrum data. Optical spectrum of reflectance and transmittance data were collected processed by 9 kind of preprocessing methods-normalizations of mean, maximum and range, SNV (standard normal variate), MSC (multiplicative scatter correction), the first derivative and second derivative of Savitzky-Golay and Norris-Gap. With the preprocessed and non-processed original spectrum data, prediction models of hardness of tomato were developed using analytical tools of PLS (partial least squares) and MLR (multiple linear regression) and tested for their validation. The test of validation resulted that the analytical tools of PLS and MLR output similar performances while the transmittance spectra showed much better result than the reflectance spectra.

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References

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