Health state early warning method and system suitable for ruminant livestock

Abstract

The invention provides a health state early warning method suitable for ruminant livestock. The method comprises the following steps: S1, enabling livestock to wear a wireless ear canal temperature monitoring device, and carrying out the real-time body temperature data collection; S2, establishing an archive library for the livestock, and storing historical acquired temperature data into the library one by one to form exclusive body temperature monitoring data of each livestock; S3, establishing a definite diagnosis sample according to the historical acquired data of each livestock, and matching the current body temperature data with the indexes of the definite diagnosis samples; and S4, after a body temperature abnormality alarm is given, allowing a veterinarian to carry out manual detection and judgment, corrects the definite diagnosis sample indexes according to judgment results, and continuously updates the definite diagnosis sample indexes. Electronic technology is applied to thefield to automatically detect body temperature changes of animals, treatment and prevention measures can be provided in time when the animals are in the early stage of diseases, and a breeding level and breeding capacity are improved.

Description

technical field [0001] The invention belongs to the technical field of intelligent farming, animal husbandry and breeding, and in particular relates to a health state early warning method suitable for ruminant livestock. Background technique [0002] China has few per capita resources, and livestock breeding adopts a highly factory-like production method. At the same time, a large amount of capital has entered the field of agriculture and animal husbandry, and the breeding of dairy and beef cattle is rapidly developing in the direction of scale and intensification. The health and disease prevention and control of the cattle industry is one of the important tasks of the entire industry. In addition to environmental and nutritional factors, digestive and respiratory diseases of cattle are the highest factors for morbidity and mortality. How to effectively expose and treat the disease early in the early stage to reduce the cost of treatment is particularly important. Traditio...

AI Technical Summary

Problems solved by technology

[0005] 3) Lesions are discovered by measuring the movement indicators of the cattle behavior detection device. This method is often found and issued after the lesions have become a reality and have affected the movement characteristics of the cattle, and the monitoring of movement indicators exists large error;

[0006] 4) Through long-distance infrared temperature detection, and by setting the upper and lower limits of the index, and exceeding the limit alarm, but the body temperature of the individual cow cannot be obtained accurately and in real time, and the body temperature of the cow will change with the current state of the cow. It is inaccurate to judge whether the index of a collection point exceeds the limit, and often produces false positives

This monitoring method uses 30 days of data for feature information capture, which cannot achieve timely early warning. The model extracted from 30 days of data has no real significance. Many diseases have been irreversible and have already caused losses, so the mortality rate or elimination rate cannot be reduced. Original intention: It is completely judged by the machine, and the alarm feature algorithm cannot be accurately optimized

Images