STUDY ON AOTF-BASED NEAR-INFRARED SPECTROSCOPY ANALYSIS SYSTEM OF FARM PRODUCE QUALITY

文献类型： 外文期刊

第一作者： Zhang, Xiaochao

作者： Zhang, Xiaochao;Hu, Xiaoan;Zhang, Yinqiao;Wang, Hui;Zhang, Hui

作者机构：

关键词： Near-infrared;AOTF;Milk Powder;Quality Analyses;Wavelet Analysis;Support Vector Machine

期刊名称：COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE II, VOLUME 3

ISSN：

年卷期： 2009 年

页码：

收录情况： SCI

摘要： The technology of near-infrared spectroscopy analysis is one of the important ways to test agricultural products inside quality quantitatively. The near-infrared spectral analysis system which used the technology of sound and light tunable filter (AOTF) can be applied to on-line measurement. The system constructed by AOTF, analysis optimization wavelength together with genetic algorithm, execute data filtering with wavelet analysis technology, process data of signal with second differential and Mahalanobis-distance, establish Partial Least-Squares model, tested the wheat and powdered milk. Reflects the development of the near-infrared spectral analysis system can be applied to the quality of agricultural products preferably.

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