On-line detection method of mildew corn, based on spectrum and image information fusion

Abstract

The invention discloses an on-line detection method of a mildew corn, based on spectrum and image information fusion, and relates to the technical field of corn colony total count detection. The method comprises the following steps: performing irradiation sterilization on a corn sample; inoculating harmful mildew to the corn sample and storing the corn sample; performing on-line collection on cornsample spectrum and image information; measuring the total number of corn colony; performing rapid determination, outputting actual content of molds through an established model and spectrum and image fusion information of a corn to be detected, so as to judge corn mildew state. The method is convenient for detection, does not need to perform traditional counting on mildew in the corn, and only need to collect characteristic spectrum information and image parameter information of corn mildew pollution through a near infrared spectrum and image technology. The method does not damage the sample, is energy-saving and environmentally friendly, does not need to prepare chemical reagents, does not produce toxic waste liquor, and reduces harm to human body and the environment. The method is lowin detection cost, and does not need to buy expensive chemical reagents and various analysis instruments.

Description

technical field [0001] The invention relates to a detection method for the total number of corn colonies, in particular to an online detection method for mildewed corn based on the fusion of spectrum and image information to realize a rapid online detection method for the amount of corn bacteria. Background technique [0002] Corn is one of the three major grain varieties, and its planting area ranks third after wheat and rice. my country is a big country in the production and consumption of corn. In addition to food, corn is also used as feed and industrial raw materials. However, due to the characteristics of corn itself: high original moisture content, uneven maturity, large embryo, strong hygroscopicity, high fat content, easy rancidity, large total number of mold colonies and easy mildew, etc., making corn not resistant to storage, and in the Mildew and breakage are prone to occur during storage. In addition, mildewed corn is accompanied by the production of mycotoxin...

AI Technical Summary

Problems solved by technology

[0006] Near-infrared spectroscopy is a quantitative measurement based on the absorption characteristics of the sample components on the near-infrared spectrum. However, the near-infrared spectroscopy cannot obtain the external information of the measured sample, which may cause large errors and is easily affected by external light, humidity, etc. Cause noise interference and affect detection accuracy

Image processing detection technology can only identify mildew by extracting external parameters such as color, texture, and shape, and cannot accurately detect internal defects such as internal damage and minor disease infection

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