A method for rapid detection of dairy cow recessive mastitis grade based on dielectric spectrum technology

Abstract

The invention discloses a method for rapidly detecting the dairy cattle recessive mastitis level based on the dielectric frequency spectrum technology. The method comprises the following steps of collecting a batch of milk samples of dairy cattle with the recessive mastitis levels being negative, weak positive, positive and strong positive, and adopting a dielectric frequency spectrum measuring instrument for measuring the dielectric frequency spectrum; dividing a correction set and a prediction set, and extracting characteristic dielectric variables; on the basis of whole-spectrum or characteristic dielectric variables, building a linear or nonlinear model for detecting the recessive mastitis level; verifying the model accuracy, and determining an error back propagation network model on the basis of a continuous projection algorithm as the best model through comparison; collecting milk samples of dairy cattle with the unknown recessive mastitis level, measuring the dielectric frequency spectra, substituting values of the characteristic dielectric variables into the best model, and obtaining the dairy cattle recessive mastitis level. On the basis of the dielectric frequency spectrum technology, the method has the advantages of being convenient and rapid to detect, easy to implement, high in precision and capable of achieving online and real-time detection.

Description

technical field [0001] The invention belongs to the technical field of dairy cow mastitis diagnosis, in particular to a method for rapidly detecting the grade of dairy cow latent mastitis based on a dielectric spectrum technology. Background technique [0002] Cow's milk is deeply loved by consumers because it is rich in various nutrients such as protein, fat, and minerals. Recessive mastitis in dairy cows is a recognized problem all over the world, and its prevention and treatment has attracted great attention from the society. When dairy cows suffer from subclinical mastitis, the nutrient content and quality of milk will change, and even lead to less milk production of dairy cows, causing huge economic losses to the dairy industry. Although some large dairy companies can strictly control the quality of dairy products, small dairy companies and farmers often mix milk from cows with subclinical mastitis into normal milk for sale. In addition, it is difficult for many dairy...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to overcome the defects of the traditional laboratory measurement method to detect the grade of dairy cow recessive mastitis, which is cumbersome, time-consuming, requires many chemical reagents, and the result lags behind, and provides a method for quickly detecting dairy cow recessive mastitis based on dielectric spectrum technology. Inflammation level method, laying the foundation for the development of fast, efficient, accurate, real-time, on-line detection equipment for dairy cow recessive mastitis

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