CN113100110A - Method for monitoring attack of beef calf - Google Patents

Method for monitoring attack of beef calf Download PDF

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Publication number
CN113100110A
CN113100110A CN202110379947.8A CN202110379947A CN113100110A CN 113100110 A CN113100110 A CN 113100110A CN 202110379947 A CN202110379947 A CN 202110379947A CN 113100110 A CN113100110 A CN 113100110A
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China
Prior art keywords
beef
calf
sound
executing
monitoring
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Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202110379947.8A
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Chinese (zh)
Inventor
付龙
张淑芬
韩永胜
王振
丁昕颖
马珊珊
李伟
李晴晴
王树茂
丁丽艳
丁得利
黄新育
张杨
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Animal Husbandry and Veterinary Branch of Heilongjiang Academy of Agricultural Sciences
Original Assignee
Animal Husbandry and Veterinary Branch of Heilongjiang Academy of Agricultural Sciences
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Publication date
Application filed by Animal Husbandry and Veterinary Branch of Heilongjiang Academy of Agricultural Sciences filed Critical Animal Husbandry and Veterinary Branch of Heilongjiang Academy of Agricultural Sciences
Priority to CN202110379947.8A priority Critical patent/CN113100110A/en
Publication of CN113100110A publication Critical patent/CN113100110A/en
Pending legal-status Critical Current

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    • AHUMAN NECESSITIES
    • A01AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01KANIMAL HUSBANDRY; CARE OF BIRDS, FISHES, INSECTS; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
    • A01K29/00Other apparatus for animal husbandry
    • A01K29/005Monitoring or measuring activity, e.g. detecting heat or mating

Abstract

The invention discloses a monitoring method for attack of beef calves, relates to the field of beef cattle breeding, and aims to solve the problems that the monitoring efficiency of the existing monitoring method for the attack of the beef calves is low, and time and labor are wasted in the breeding process of beef cattle. The calf sound monitoring method is suitable for beef cattle breeding occasions, and the calf sound monitoring method is characterized in that the variation of the muscle tension of the calf is used as a measuring factor, and the sound variation condition of the calf in the same time period is supplemented, so that whether the calf is attacked or not is judged.

Description

Method for monitoring attack of beef calf
Technical Field
The invention relates to the field of beef cattle breeding, in particular to a technology for monitoring attack on beef calf.
Background
Beef cattle, namely beef cattle, are a type of cattle mainly used for producing beef. It features full body, quick weight increment, high utilization rate of feed, good meat quality and taste. The beef cattle not only provides meat products for people, but also provides other subsidiary food for people. The beef cattle breeding prospect is wide.
The beef cattle for slaughtering and eating has multiple varieties and good production benefit in China,
the most remarkable characteristics of beef cattle in terms of production performance are as follows: the growth speed is high, and the lean meat yield is high. Under good feeding conditions, the male calf can reach 250 kg at the age of 6 months, and the female calf can reach 210 kg. The daily gain can reach 1400 g. In canada, the weevil of a bull may reach 511 kg under good breeding conditions. The beef cattle as a specialized large beef cattle is characterized by strong body and developed muscles.
Generally, the characters of beef cattle are mild, but both bulls and cows also have estrus, and in the estrus, individual differences also exist between the bulls and the cows, occasionally generate emotional anxiety, act on behaviors, and generate aggressivity, and if calf calves are mixed at the moment, innocent attacks can be generated inevitably, such as: in the prior art, adult beef cattle and calves are separately cultured in a culturing farm, so that the probability of the calves being attacked is reduced at the cost of increasing the culture cost. Meanwhile, the existing method mainly depends on the culture personnel to carry out 24-hour human monitoring by adopting an observation method, the monitoring is original, time and labor are wasted, and the monitoring efficiency is low.
Disclosure of Invention
The invention provides a monitoring method for the attack of beef calves, aiming at solving the problems of low monitoring efficiency, time and labor waste of the existing monitoring method for the attack of the beef calves in the breeding process of the beef cattle.
A method for monitoring exposure of beef calves to attack, comprising the steps of:
step one, wearing a myoelectric sensor and a sound acquisition device on each beef calf;
step two, acquiring myoelectric signals of the beef calf by adopting a myoelectric sensor in a time period t0, and executing step three;
step three, judging whether the electromyographic signals of the beef calf collected in the step two are smaller than a preset threshold value, and if so, executing the step four; if the judgment result is negative, executing the seventh step;
step four, collecting the sound signals of the beef calf by adopting a sound collecting device at the time period t0 in the step two, and executing the step five;
step five, judging whether the intensity of the sound signal of the beef calf collected in the step four is smaller than a preset threshold value, and if so, executing the step six; if the judgment result is negative, executing the seventh step;
step six, judging that the beef calf is not attacked, and finishing the monitoring that the beef calf is attacked for one time;
and seventhly, judging that the beef calf is attacked, reminding breeding personnel in a wired or wireless communication mode, and finishing the monitoring that the beef calf is attacked once.
The invention relates to a method for monitoring the attack of beef calf, which is characterized in that the myoelectric signal and the sound information of the beef calf are collected in real time, the method is high in monitoring efficiency, and the cultivation personnel can be reminded in a wired or wireless communication mode, so that the monitoring is time-saving and labor-saving.
Drawings
FIG. 1 is a schematic flow diagram of the present invention.
Detailed Description
The first embodiment is a method for monitoring attack of beef calf, which comprises the following steps:
step one, wearing a myoelectric sensor and a sound acquisition device on each beef calf;
step two, acquiring myoelectric signals of the beef calf by adopting a myoelectric sensor in a time period t0, and executing step three;
step three, judging whether the electromyographic signals of the beef calf collected in the step two are smaller than a preset threshold value, and if so, executing the step four; if the judgment result is negative, executing the seventh step;
step four, collecting the sound signals of the beef calf by adopting a sound collecting device at the time period t0 in the step two, and executing the step five;
step five, judging whether the intensity of the sound signal of the beef calf collected in the step four is smaller than a preset threshold value, and if so, executing the step six; if the judgment result is negative, executing the seventh step;
step six, judging that the beef calf is not attacked, and finishing the monitoring that the beef calf is attacked for one time;
and seventhly, judging that the beef calf is attacked, reminding breeding personnel in a wired or wireless communication mode, and finishing the monitoring that the beef calf is attacked once.
The electromyographic sensor is a high density surface electromyographic test system SAGA EMG.
Step five, replacing the steps by the following steps: judging whether abnormal sound exists in the sound signals of the beef calf collected in the fourth step, and if so, executing the sixth step; if the judgment result is negative, executing the seventh step;
the abnormal sound includes the following:
(2) low roar, (2) rapid breathing sound, and (3) roaring sound
Furthermore, a sound signal of the beef calf is sent to the breeder in a wired or wireless communication mode, and the breeder judges abnormal sound.
The principle is as follows: the method and the device can judge whether the beef calf is attacked or not by collecting the muscle state of the beef calf matched with the sound condition of the beef calf at a certain time period.
In the case that the calf is attacked, the muscle of the calf can show high muscle tension and muscle tension, the invention takes the high muscle tension change of the calf as a measuring factor and is assisted with the sound change condition of the calf in the same time period, thereby judging whether the calf is attacked or not.
The method has high monitoring efficiency, and can remind the breeding personnel in a wired or wireless communication mode, thereby saving time and labor during monitoring.

Claims (5)

1. A monitoring method for the attack of beef calf is characterized in that: it comprises the following steps:
step one, wearing a myoelectric sensor and a sound acquisition device on each beef calf;
step two, acquiring myoelectric signals of the beef calf by adopting a myoelectric sensor in a time period t0, and executing step three;
step three, judging whether the electromyographic signals of the beef calf collected in the step two are smaller than a preset threshold value, and if so, executing the step four; if the judgment result is negative, executing the seventh step;
step four, collecting the sound signals of the beef calf by adopting a sound collecting device at the time period t0 in the step two, and executing the step five;
step five, judging whether the intensity of the sound signal of the beef calf collected in the step four is smaller than a preset threshold value, and if so, executing the step six; if the judgment result is negative, executing the seventh step;
step six, judging that the beef calf is not attacked, and finishing the monitoring that the beef calf is attacked for one time;
and seventhly, judging that the beef calf is attacked, reminding breeding personnel in a wired or wireless communication mode, and finishing the monitoring that the beef calf is attacked once.
2. The method for monitoring the attack of beef calves according to claim 1, characterized in that the electromyographic sensor is a high-density surface electromyographic test system SAGA EMG.
3. The method for monitoring the attack of beef calves according to claim 1, characterized in that step five is replaced by the following steps, in particular: judging whether abnormal sound exists in the sound signals of the beef calf collected in the fourth step, and if so, executing the sixth step; and if the judgment result is negative, executing a seventh step.
4. A monitoring method for beef calf attack according to claim 3, characterized in that the abnormal sounds include the following:
(1) low roar, (2) rapid breathing sound, (3) roaring sound
One of them.
5. A method as claimed in claim 4, wherein the sound signal of the calf is transmitted to the breeder by wired or wireless communication, and the abnormal sound is judged by the breeder.
CN202110379947.8A 2021-04-02 2021-04-02 Method for monitoring attack of beef calf Pending CN113100110A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110379947.8A CN113100110A (en) 2021-04-02 2021-04-02 Method for monitoring attack of beef calf

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110379947.8A CN113100110A (en) 2021-04-02 2021-04-02 Method for monitoring attack of beef calf

Publications (1)

Publication Number Publication Date
CN113100110A true CN113100110A (en) 2021-07-13

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CN202110379947.8A Pending CN113100110A (en) 2021-04-02 2021-04-02 Method for monitoring attack of beef calf

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Citations (8)

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WO2013122468A1 (en) * 2012-02-15 2013-08-22 Katholieke Universiteit Leuven Automated monitoring and controlling of undesired livestock behaviour
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CN108888265A (en) * 2018-05-23 2018-11-27 四川斐讯信息技术有限公司 A kind of movement method for early warning and device
CN111031906A (en) * 2017-08-16 2020-04-17 东洋纺株式会社 Electrode member for physiological information measurement, physiological information measurement device, garment for physiological information measurement, method for attaching electrode member for physiological information measurement, and method for measuring physiological information
CN111543351A (en) * 2020-05-14 2020-08-18 深聆科技(北京)有限公司 Breeding monitoring system and monitoring method thereof
CN111567440A (en) * 2020-05-08 2020-08-25 韩永胜 Beef cattle mating process monitoring system and method based on wearable monitoring system
CN112315473A (en) * 2019-07-31 2021-02-05 深圳先进技术研究院 Non-human primate multimode data acquisition experimental system

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101472469A (en) * 2006-04-18 2009-07-01 Iti苏格兰有限公司 Method and system for monitoring the condition of livestock
WO2013122468A1 (en) * 2012-02-15 2013-08-22 Katholieke Universiteit Leuven Automated monitoring and controlling of undesired livestock behaviour
CN107846869A (en) * 2015-03-05 2018-03-27 珠海进峰科技有限公司 Animal monitoring device
CN111031906A (en) * 2017-08-16 2020-04-17 东洋纺株式会社 Electrode member for physiological information measurement, physiological information measurement device, garment for physiological information measurement, method for attaching electrode member for physiological information measurement, and method for measuring physiological information
CN108888265A (en) * 2018-05-23 2018-11-27 四川斐讯信息技术有限公司 A kind of movement method for early warning and device
CN112315473A (en) * 2019-07-31 2021-02-05 深圳先进技术研究院 Non-human primate multimode data acquisition experimental system
CN111567440A (en) * 2020-05-08 2020-08-25 韩永胜 Beef cattle mating process monitoring system and method based on wearable monitoring system
CN111543351A (en) * 2020-05-14 2020-08-18 深聆科技(北京)有限公司 Breeding monitoring system and monitoring method thereof

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Application publication date: 20210713