Rice quality analyzer analysis of rice appearance quality is not an image method

In recent years, with the development of image processing technology, the instrument image analysis methods to identify the quality of the sample becomes more widespread, which in agriculture there is more representative of the plant root image instrument monitoring and analysis system, seed count System, etc., but in fact the appearance quality test for rice, in fact, the most suitable method to use the image method, then the rice quality analyzer as a special instrument for the appearance of rice quality, using this method and principle is not it?

Rice quality analyzer

Rice Quality Analyzer Instrument features is to use image scan acquisition mode, using a general purpose computer and special software for image processing, Thus, the rice quality analyzer method rice appearance quality image is used. Appearance characterization Grain Quality Analyzer using the image method of rice, its greatest advantage is easy, fast, and the actual application of the measurement can also be found using rice quality analyzer to detect the appearance quality of rice, such as grain type, transparency , chalkiness and chalkiness degree, the detection result is consistent with the national standard method, accurate measurement result, stable, easy to handle, can be extended to detect and appearance quality of rice rice breeding work them.

The appearance quality of rice is an important indicator of the quality of rice. Therefore, it is of great significance to strengthen the appearance quality of rice for the current food production and to promote the quality and efficiency of modern agriculture. The image method used by rice quality analyzer provides a reliable, rapid and accurate detection method for the appearance quality of rice, which promotes the progress and development of rice quality detection technology. The instrument plays an important role in the detection of rice appearance quality, completely solves the disadvantages of the time-consuming manpower and low precision of artificial sensory identification operations, and ensures the fairness and fairness of the food quality inspection process.

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