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Detection method of meat containing excessive moisture based on hyperspectral imaging and SVM multi-information fusion

机译:基于高光谱成像和支持向量机多信息融合的肉类水分过剩检测方法

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In this paper, a quick and accurate detection method is discussed. It can identify whether the meat contain excessive moisture. By using near-infrared spectroscopy measurement, the meat moisture content model has been established. In order to improve the accuracy of the near infrared (NIR) measurement predicted model and to reduce the measurement sensitivity, we utilized the hyperspectral 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.
机译:本文讨论了一种快速准确的检测方法。它可以识别肉中是否含有过多的水分。通过使用近红外光谱测量,建立了肉类水分含量模型。为了提高近红外(NIR)测量预测模型的准确性并降低测量灵敏度,我们利用高光谱图像信息和pH值数据作为肉类水分含量模型的参数。研究得出结论,该理论和方法可以进一步扩展到其他相关肉类农产品的检测。

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