A method and system for real-time monitoring of cow estrus behavior

Abstract

The present invention provides a method and system for real-time monitoring of dairy cow estrus behavior. The optical flow image sequence of the dairy cow to be monitored is obtained according to the original image sequence of the dairy cow to be monitored, the feature extraction is performed on the optical flow image sequence, and the optical flow image sequence corresponding to the optical flow image sequence is obtained. Flow feature; detect the cow to be monitored from the original image sequence, and extract the edge profile feature of the cow to be monitored; input the optical flow feature and edge profile feature into the preset neural network, and treat the cow to be monitored according to the output of the preset neural network estrus behavior monitoring. The method and system can accurately identify the climbing behavior of the cow to be monitored in estrus from the monitoring video images of the cow to be monitored, so that the estrus behavior of the cow to be monitored can be detected in time and accurately, which is conducive to the timely conception, calving and prolongation of the lactation period of healthy cows , improve the economic benefits of dairy farming; at the same time, it avoids missed inspections caused by manual identification, and saves the labor cost of dairy farming to a certain extent.

Description

technical field [0001] The invention relates to the technical field of computer vision, and more specifically, to a method and system for real-time monitoring of cow estrus behavior. Background technique [0002] Dairy cows have their own living habits and behavioral characteristics. For modern large-scale dairy farms that use artificial insemination, timely detection of cow estrus is conducive to timely pregnancy, calving and prolonging the lactation period of healthy cows, improving the economic benefits of dairy cow breeding. [0003] At present, the estrus identification methods in large-scale dairy farms include traditional external observation methods, rectal inspection methods, and in recent years, pedometer methods and rumination methods based on the Internet of Things. The external observation method mainly depends on the climbing behavior of the cow in estrus, that is, it will accept the climbing of other cows after entering the peak estrus period, so as to judge t...

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the problem that it is difficult to accurately judge the estrus behavior of dairy cows in the estrus identification methods of dairy cows in the prior art, thereby delaying the mating of dairy cows, so as to affect the interests of dairy cow breeding, the present invention provides a real-time monitoring method and system for estrus behavior of dairy cows

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