Earticle

초록

영어

Detection of starch content in potato is studied applying hyperspectral imaging technique in the paper. The original and preprocessing spectra were processed with partial least square(PLS) method to build prediction model of starch content. The original spectra between 400 and 1000nm was preprocessed with smoothing, second derivation, and multiplicative scatter correction (MSC). Prediction model was built with preprocessing spectra by applying principal component analysis (PCA). Known from the result, the model based on the preprocessing spectra preprocessed with smoothing and PCA is the best of all prediction models built in research. The determination coefficient (R2)of calibration set and prediction set was 0.8234 and 0.9031 respectively. The root mean square error of calibration set (ＲMSEC) and root mean square error of validation set(ＲMSEV) was 0.5633 and 0.5025，respectively．It indicated that this method could be applied in detection of starch content in potato. The study could offer theoretical and practical reference for further study in the future.

목차

Abstract
 1. Introduction
 2. Material and Method
  2.1. Sample and Equipment
  2.2. Chemical Analysis Method of Starch Content
  2.3. Hyperspectral Analysis Method
 3. Result and Analysis
  3.1. Chemical Values of the Starch Content
  3.2. Selection of Pretreatment Method
  3.3. PLSR Modeling Analysis
  3.4. Validation of Regression Model
 4. Discussion
 References

키워드

저자

• Wei Jiang [ School of Electrical Engineering and Information, Northeast Agricultural University, Harbin, 150030, China, Department of Computin, Harbin Finance University, Harbin, 150030, China ]
• Junlong Fang [ School of Electrical Engineering and Information, Northeast Agricultural University, Harbin, 150030, China ] Corresponding Author
• Shuwen Wang [ School of Electrical Engineering and Information, Northeast Agricultural University, Harbin, 150030, China ]
• Yongcun Fan [ School of Electrical Engineering and Information, Northeast Agricultural University, Harbin, 150030, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605