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Identifying 1 Method of Meat Containing Excessive Moisture Based on hyperspectral and SVM Multi-Information Fusion

机译:基于高光谱和SVM多信息融合的肉类水分过多识别方法

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In this paper, a quick and accurate detection method which can identify whether the meat contain excessive moisture is mentioned. By using near-infrared spectroscopy measurement and SVM Multi-Information Fusion, the meat moisture content model has been established. In order to improve the accuracy of NIR measurement predicted model and to reduce the measurement sensitivity, utilizing image information and the PH value data as the parameters of the meat moisture content model. The study concluded that the theory and method can be further extended to the detection of other related meat agricultural products.Project 61473009 supported by NSFC
机译:在本文中,提到了一种快速,准确的检测方法,该方法可以识别肉类是否含有过多的水分。通过使用近红外光谱测量和SVM多信息融合,建立了肉类水分含量模型。为了提高NIR测量预测模型的准确性并降低测量灵敏度,利用图像信息和PH值数据作为肉类水分含量模型的参数。研究得出的结论是,该理论和方法可以进一步推广到其他相关肉类农产品的检测中。国家自然科学基金委项目61473009

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