A machine vision-based statistical method for ruminating, chewing and swallowing times of dairy cows

Abstract

The invention relates to a machine vision-based method for counting the number of chewing and swallowing times of dairy cows, which is characterized in that it includes the following contents: 1) extracting the shape features of cows, and using the extracted cow shape features as samples for training to obtain a sample library; 2) by The video acquisition device fixedly installed in the cow's rest area acquires the video image recorded with the cow's chewing action, performs data processing on the video image and then matches it with the sample library, and completes the classification and matching of the pattern of the cow's head activity area; 3) the completed matching The video image is imported into the sample library as a new sample, and the new sample library is used to repeat step 2) for pattern classification and matching of subsequent video images until all video image processing is completed, and then enter step 4); 4) Position the mouth movement of the cow , use the frame difference method to judge the rumination behavior of dairy cows, and count the chewing and swallowing times. The invention can be widely used in monitoring the health state of dairy cows.

Description

technical field [0001] The invention relates to a machine vision-based method for counting the number of times of chewing and swallowing of dairy cows, and relates to the field of animal behavior monitoring. Background technique [0002] The rumination behavior of dairy cows is an important indicator reflecting the individual status of dairy cows. The rumination time and the number and speed of chewing each ruminant bolus can intuitively reflect indicators such as milk production, reproductive cycle and health status of dairy cows. Changes in rumination are the earliest sign of a potential problem in the cow. Through the monitoring of rumination behavior, diseases can be detected early, prevented and treated in advance, which plays an important role in maintaining the health of dairy cows, overcoming reproductive obstacles, and increasing milk production. Therefore, the monitoring of rumination behavior of dairy cows is crucial for dairy farms. [0003] There have been a l...

AI Technical Summary

Problems solved by technology

This method requires each monitored object to wear a monitoring device, which not only affects the normal activities of the animal, but also is affected by the battery life and equipment life. It needs to be replaced regularly, and the operating cost is high; there is a gap between the monitored object and the signal receiving device. The distance is limited, and the range of activities of animals is limited by the equipment; in addition, this monitoring equipment can only judge the behavior of the detected object, such as distinguishing whether the action is ruminating or drinking water, but cannot distinguish the details of the action, and can only record the total time of ruminating every day. However, the number of ruminations and the number of chews per bolus could not be recorded

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