CN114532248A - Heat stress behavior monitoring method and monitoring device for dairy cow - Google Patents
Heat stress behavior monitoring method and monitoring device for dairy cow Download PDFInfo
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Abstract
The embodiment of the invention discloses a method and a device for monitoring heat stress behaviors of dairy cows, wherein the method comprises the following steps: acquiring milk cow monitoring information and environment monitoring information, wherein the milk cow monitoring information and the environment monitoring information are non-contact monitoring information; determining cow behavior information based on the cow monitoring information; acquiring a preset heat stress early warning model; and processing the environment monitoring information and the cow behavior information based on the preset heat stress early warning model to generate a corresponding heat stress behavior monitoring result. By adopting a non-contact monitoring method, the behavior of the dairy cow under various environmental factors can be effectively and accurately monitored, and intelligent early warning or management can be effectively carried out on the heat stress behavior of the dairy cow by combining a heat stress early warning model aiming at the dairy cow, so that the labor cost is reduced, and the monitoring effectiveness and the monitoring accuracy are improved.
Description
Technical Field
The invention relates to the technical field of cow management, in particular to a heat stress behavior monitoring method of a cow, a heat stress behavior monitoring device of a cow and a computer readable storage medium.
Background
With the continuous development of science and technology, various new technologies are continuously applied to various technical fields, for example, in the breeding industry, the traditional breeding industry is often carried out manually, and with the continuous development of intelligent technologies and the continuous improvement of labor cost, people put forward higher requirements on the breeding industry.
The stress reaction is used as a physiological response reaction and is gradually formed by animals in the long-term evolution process, for example, the heat stress reaction is an important factor for restricting the dairy cow breeding industry, when the accumulation of the heat load of a dairy cow body exceeds the capability of self regulation, the heat homeostasis balance of the body is broken, and the heat stress can greatly influence the health and milk yield of the dairy cow.
In the prior art, the monitoring of the health condition and the stress response of the cultured dairy cows is often realized through manual observation, however, in the actual application process, the manual observation has the conditions of high labor cost, large subjectivity deviation, a large amount of monitoring omission and the like, and therefore the actual requirements of people on the dairy cow culture at present cannot be met.
Disclosure of Invention
In order to overcome the technical problems in the prior art, embodiments of the present invention provide a method for monitoring heat stress behavior of a cow, which can effectively and accurately monitor the behavior of the cow under various environmental factors by using a non-contact monitoring method, and can effectively and intelligently early warn or manage the heat stress behavior of the cow by combining with a heat stress early warning model for the cow, thereby reducing labor cost and improving monitoring effectiveness and monitoring accuracy.
In order to achieve the above object, an embodiment of the present invention provides a method for monitoring heat stress behavior of a cow, including: acquiring milk cow monitoring information and environment monitoring information, wherein the milk cow monitoring information and the environment monitoring information are non-contact monitoring information; determining cow behavior information based on the cow monitoring information; acquiring a preset heat stress early warning model; and processing the environment monitoring information and the cow behavior information based on the preset heat stress early warning model to generate a corresponding heat stress behavior monitoring result.
Preferably, the acquiring the cow monitoring information includes: acquiring video monitoring information for the dairy cow; performing identity recognition on each cow based on the video monitoring information to generate identity recognition information of each cow; and taking the identification information and the video monitoring information as the cow monitoring information.
Preferably, the acquiring the environmental monitoring information includes: acquiring temperature information and humidity information of the current feeding environment; determining corresponding environmental index information based on the temperature information and the humidity information; and taking the environment index information as the environment monitoring information.
Preferably, the acquiring of the preset heat stress early warning model includes: acquiring an initial early warning model, wherein the initial early warning model comprises environmental parameters and cow behavior parameters; acquiring historical monitoring information; training the initial early warning model based on the historical monitoring information to generate a post-training early warning model, wherein the post-training early warning model comprises the corresponding relation between the environmental parameters and the cow behavior parameters; and taking the trained early warning model as a preset heat stress early warning model.
Preferably, the environmental index information is a warm environmental index, and the processing of the environmental monitoring information and the cow behavior information based on the preset heat stress early warning model generates a corresponding heat stress behavior monitoring result, including: acquiring a preset index threshold; judging whether the index of the warm environment is larger than the preset index threshold value in real time; in the event that the warm environment index is greater than the preset index threshold: judging whether abnormal cows with abnormal heat stress response exist or not based on the cow behavior information; if an abnormal cow exists, generating first early warning information based on the identification information of the abnormal cow; if no abnormal cow exists, generating second early warning information corresponding to the warm environment index; and taking the first early warning information or the second early warning information as the monitoring result of the heat stress behavior.
Correspondingly, the invention also provides a device for monitoring the heat stress behavior of the dairy cow, which comprises: the system comprises an information acquisition unit, a monitoring unit and a monitoring unit, wherein the information acquisition unit is used for acquiring milk cow monitoring information and environment monitoring information which are non-contact monitoring information; a behavior determining unit for determining cow behavior information based on the cow monitoring information; the model acquisition unit is used for acquiring a preset heat stress early warning model; and the monitoring unit is used for processing the environment monitoring information and the cow behavior information based on the preset heat stress early warning model to generate a corresponding heat stress behavior monitoring result.
Preferably, the information acquiring unit includes a first sub-information acquiring unit, and the first sub-information acquiring unit is specifically configured to: acquiring video monitoring information for the dairy cow; performing identity recognition on each cow based on the video monitoring information to generate identity recognition information of each cow; and taking the identification information and the video monitoring information as the cow monitoring information.
Preferably, the information acquiring unit includes a second sub-information acquiring unit, and the second sub-information acquiring unit is specifically configured to: acquiring temperature information and humidity information of the current feeding environment; determining corresponding environmental index information based on the temperature information and the humidity information; and taking the environment index information as the environment monitoring information.
Preferably, the model obtaining unit includes: the early warning system comprises an initial model acquisition module, a pre-warning module and a warning module, wherein the initial model acquisition module is used for acquiring an initial early warning model which comprises environmental parameters and cow behavior parameters; the historical information acquisition module is used for acquiring historical monitoring information; the model training module is used for training the initial early warning model based on the historical monitoring information to generate a post-training early warning model, and the post-training early warning model comprises the corresponding relation between the environmental parameters and the cow behavior parameters; and the model determining module is used for taking the trained early warning model as a preset heat stress early warning model.
Preferably, the environment index information is a warm environment index, and the monitoring unit includes: the threshold value obtaining module is used for obtaining a preset index threshold value; the judging module is used for judging whether the index of the warm environment is greater than the preset index threshold value in real time; in the event that the warm environment index is greater than the preset index threshold: judging whether abnormal cows with abnormal heat stress response exist or not based on the cow behavior information; if an abnormal cow exists, generating first early warning information based on the identification information of the abnormal cow; if no abnormal cow exists, second early warning information corresponding to the warm environment index is generated; and the monitoring module is used for taking the first early warning information or the second early warning information as the heat stress behavior monitoring result.
In another aspect, the present invention also provides a computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the method provided by the present invention.
Through the technical scheme provided by the invention, the invention at least has the following technical effects:
compared with the prior art, the method has the advantages that the labor cost in the monitoring or early warning process is greatly reduced, the monitoring accuracy and effectiveness are improved, and the actual requirements of enterprises are met.
Additional features and advantages of embodiments of the invention will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the embodiments of the invention without limiting the embodiments of the invention. In the drawings:
fig. 1 is a flowchart of a specific implementation of a method for monitoring heat stress behavior of a cow according to an embodiment of the present invention;
fig. 2 is a flowchart of a specific implementation of acquiring a preset heat stress early warning model in the method for monitoring heat stress behavior of a cow according to the embodiment of the present invention;
fig. 3 is a flowchart illustrating a specific implementation of a monitoring result of heat stress behavior generated in the method for monitoring heat stress behavior of dairy cows according to the embodiment of the present invention;
fig. 4 is a schematic structural diagram of a heat stress behavior monitoring device for a cow according to an embodiment of the present invention.
Detailed Description
The following detailed description of embodiments of the invention refers to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating embodiments of the invention, are given by way of illustration and explanation only, not limitation.
The terms "system" and "network" in embodiments of the present invention may be used interchangeably. The "plurality" means two or more, and in view of this, the "plurality" may also be understood as "at least two" in the embodiments of the present invention. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" generally indicates that the preceding and following related objects are in an "or" relationship, unless otherwise specified. In addition, it should be understood that the terms first, second, etc. in the description of the embodiments of the invention are used for distinguishing between the descriptions and are not intended to indicate or imply relative importance or order to be construed.
The background of embodiments of the present invention will first be described.
The existing dairy cow heat stress behavior observation method mainly comprises two modes of manual observation and wearable detection device detection, wherein the manual observation has high labor cost, high requirements on workers and large workload, so that the actual requirements cannot be met; and wearing formula detection device is mainly the sensor of high accuracy, through wearing above-mentioned high accuracy sensor on one's body in the milk cow to each action to the milk cow detects, however in the practical application in-process, on the one hand, wearing formula detection device is higher to the requirement of detection ring border, on the other hand, the milk cow is after wearing above-mentioned wearing formula detection device, produce stress action easily, thereby lead to wearing formula detection device to be destroyed or the condition of aversion takes place, thereby greatly reduced its detection validity and detection precision, consequently also can't satisfy actual demand.
In order to solve the above technical problem, referring to fig. 1, an embodiment of the present invention provides a method for monitoring heat stress behavior of a cow, the method including:
s10) acquiring cow monitoring information and environment monitoring information, wherein the cow monitoring information is non-contact monitoring information;
s20) determining cow behavior information based on the cow monitoring information;
s30) acquiring a preset heat stress early warning model;
s40) processing the environment monitoring information and the cow behavior information based on the preset heat stress early warning model to generate a corresponding heat stress behavior monitoring result.
In a possible implementation manner, milk cow monitoring information and environment monitoring information for a milk cow are first obtained, where the milk cow monitoring information is non-contact monitoring information, and for example, a camera, an infrared scanner, a sound wave scanner, or other devices may be used to perform real-time information acquisition on the milk cow and generate corresponding milk cow monitoring information. In the embodiment of the present invention, the cow monitoring information is preferably video monitoring information.
In an embodiment of the present invention, the acquiring of the cow monitoring information includes: acquiring video monitoring information for the dairy cow; performing identity recognition on each cow based on the video monitoring information to generate identity recognition information of each cow; and taking the identification information and the video monitoring information as the cow monitoring information.
In an embodiment, the cows may be photographed in real time by a high definition camera disposed in a breeding ground of the cows to obtain video monitoring information for the cows, and then each cow may be identified based on the video monitoring information, for example, a tag disposed on each cow may be identified based on a preset intelligent identification algorithm, or each cow may be identified based on a preset body shape identification algorithm to generate identification information for each cow, and then the identification information and the video monitoring information are used as the cow monitoring information.
In the embodiment of the invention, the non-contact monitoring mode is adopted to replace the traditional manual observation or wearable detection device detection mode, so that the monitoring cost can be effectively reduced, the stress response of the dairy cow in the monitored process is reduced, and the accurate and reliable monitoring of the dairy cow is realized.
Further, because the heat stress behavior of the cow has a close relationship with the environment in which the cow is raised, corresponding environment monitoring information also needs to be acquired in the process of monitoring the heat stress behavior of the cow. In this embodiment of the present invention, the acquiring the environmental monitoring information includes: acquiring temperature information and humidity information of the current feeding environment; determining corresponding environmental index information based on the temperature information and the humidity information; and taking the environment index information as the environment monitoring information.
In one possible implementation, the temperature information and the humidity information of the cow breeding site can be obtained through a configured temperature sensor and a configured humidity sensor, and then the corresponding environment index information is further determined according to the stability information and the humidity information, for example, the environment index information is a warm environment index THI, and the warm environment index THI can be calculated based on the following formula:
THI＝(1.8×T+32)-[(0.55-0.0055×RH)×(1.8×T-26)
where T is characterized as temperature and RH is characterized as relative humidity. The warm environment index THI is then used as environment monitoring information.
At this time, the cow behavior information may be determined according to the cow monitoring information, for example, the posture characteristics of the cow may be extracted and identified to identify which living behavior the cow is in at which time, and the occurrence frequency of each living behavior, and other information, for example, the information of the laying time, drinking frequency, and rumination time of the cow is identified. At this time, a preset heat stress early warning model may be called to analyze the information, for example, the preset heat stress early warning model is created and trained by a technician in advance.
Referring to fig. 2, in the embodiment of the present invention, the obtaining of the preset heat stress early warning model includes:
s31), obtaining an initial early warning model, wherein the initial early warning model comprises environmental parameters and cow behavior parameters;
s32) acquiring historical monitoring information;
s33) training the initial early warning model based on the historical monitoring information to generate a post-training early warning model, wherein the post-training early warning model comprises the corresponding relation between the environmental parameters and the cow behavior parameters;
s34) taking the trained early warning model as a preset heat stress early warning model.
In a possible implementation manner, in the process of creating a preset heat stress early warning model, an initial early warning model is firstly obtained, for example, the initial early warning model may be an initial model based on a deep learning model or a neural network model, environmental factors may be used as independent variables in the initial model, cow behavior characteristics are used as dependent variables, then historical monitoring information is obtained, the historical monitoring information is input into the initial model for training, and a post-training early warning model is generated, the post-training early warning model includes a corresponding relationship between the environmental parameters and the cow behavior parameters, for example, certain environmental data is input into the post-training early warning model, and early warning information of corresponding cow behavior can be output; or inputting some behaviors of the cow to output corresponding environmental data early warning information. In the subsequent monitoring process of the heat stress behavior of the dairy cow, the preset heat stress early warning model can be directly called to carry out data analysis.
For example, referring to fig. 3, in an embodiment of the present invention, the environment index information is a warm environment index, and the processing the environment monitoring information and the cow behavior information based on the preset heat stress early warning model to generate a corresponding heat stress behavior monitoring result includes: acquiring a preset index threshold; judging whether the index of the warm environment is larger than the preset index threshold value in real time; in the event that the warm environment index is greater than the preset index threshold: judging whether abnormal cows with abnormal heat stress response exist or not based on the cow behavior information; if an abnormal cow exists, generating first early warning information based on the identification information of the abnormal cow; if no abnormal cow exists, generating second early warning information corresponding to the warm environment index; and taking the first early warning information or the second early warning information as the monitoring result of the heat stress behavior.
In one possible implementation, after the warm environment index is calculated, a preset index threshold is further obtained, for example, in the present aspect, the preset index threshold is determined based on the following:
THI <72, no heat stress; THI is more than or equal to 72 and less than 79, and the heat stress is slight; THI is not less than 79 and less than 88, moderate heat stress; THI of 88 or less, high heat stress. For example, THI 72 may be used as the preset index threshold, and in the monitoring process, it is determined in real time whether the calculated warm environment index is greater than the preset index threshold, if so, it is immediately determined based on the cow behavior information whether an abnormal cow with abnormal heat stress response exists, if so, a first early warning message is immediately generated based on the identification message, and then the corresponding raising staff or management staff is notified, and corresponding measures are taken in time; if no abnormal cow exists, second early warning information corresponding to the warm environment index is generated and sent to a corresponding raising person as a monitoring result, for example, the monitoring result can be sent to the raising person in a wireless communication or wired communication mode, so that the raising person is prompted to take a corresponding cooling measure in time to relieve the heat stress behavior of the cow.
Further, after the monitoring result is generated, the monitoring result can be stored in a cloud server so as to be inquired and used by feeding personnel or management personnel at any time.
In the embodiment of the invention, the traditional milk cow monitoring method is improved, a non-contact monitoring method is adopted, and a pre-established heat stress early warning model is combined, so that the heat stress behavior of the milk cow can be effectively identified and a corresponding alarm or prompt is sent out, thereby realizing the effective monitoring and management of the heat stress behavior of the milk cow, reducing the operating cost of enterprises, improving the feeding health degree of the milk cow, ensuring the output efficiency of the milk cow and meeting the actual requirements of users.
The following describes a heat stress behavior monitoring device for a cow provided by an embodiment of the invention with reference to the accompanying drawings.
Referring to fig. 4, based on the same inventive concept, an embodiment of the present invention provides an apparatus for monitoring heat stress behavior of a cow, including: the system comprises an information acquisition unit, a monitoring unit and a monitoring unit, wherein the information acquisition unit is used for acquiring milk cow monitoring information and environment monitoring information which are non-contact monitoring information; a behavior determining unit for determining cow behavior information based on the cow monitoring information; the model acquisition unit is used for acquiring a preset heat stress early warning model; and the monitoring unit is used for processing the environment monitoring information and the cow behavior information based on the preset heat stress early warning model to generate a corresponding heat stress behavior monitoring result.
In this embodiment of the present invention, the information acquiring unit includes a first sub-information acquiring unit, where the first sub-information acquiring unit is specifically configured to: acquiring video monitoring information for the dairy cow; performing identity recognition on each cow based on the video monitoring information to generate identity recognition information of each cow; and taking the identification information and the video monitoring information as the cow monitoring information.
In this embodiment of the present invention, the information acquiring unit includes a second sub-information acquiring unit, where the second sub-information acquiring unit is specifically configured to: acquiring temperature information and humidity information of the current feeding environment; determining corresponding environmental index information based on the temperature information and the humidity information; and taking the environment index information as the environment monitoring information.
In an embodiment of the present invention, the model obtaining unit includes: the early warning system comprises an initial model acquisition module, a pre-warning module and a warning module, wherein the initial model acquisition module is used for acquiring an initial early warning model which comprises environmental parameters and cow behavior parameters; the historical information acquisition module is used for acquiring historical monitoring information; the model training module is used for training the initial early warning model based on the historical monitoring information to generate a post-training early warning model, and the post-training early warning model comprises the corresponding relation between the environmental parameters and the cow behavior parameters; and the model determining module is used for taking the trained early warning model as a preset heat stress early warning model.
In an embodiment of the present invention, the environmental index information is a warm environmental index, and the monitoring unit includes: the threshold value obtaining module is used for obtaining a preset index threshold value; the judging module is used for judging whether the index of the warm environment is greater than the preset index threshold value in real time; in the event that the warm environment index is greater than the preset index threshold: judging whether abnormal cows with abnormal heat stress response exist or not based on the cow behavior information; if an abnormal cow exists, generating first early warning information based on the identification information of the abnormal cow; if no abnormal cow exists, generating second early warning information corresponding to the warm environment index; and the monitoring module is used for taking the first early warning information or the second early warning information as the heat stress behavior monitoring result.
Further, an embodiment of the present invention also provides a computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the method of the present invention.
Although the embodiments of the present invention have been described in detail with reference to the accompanying drawings, the embodiments of the present invention are not limited to the details of the above embodiments, and various simple modifications can be made to the technical solutions of the embodiments of the present invention within the technical idea of the embodiments of the present invention, and the simple modifications all belong to the protection scope of the embodiments of the present invention.
It should be noted that the various features described in the above embodiments may be combined in any suitable manner without departing from the scope of the invention. In order to avoid unnecessary repetition, the embodiments of the present invention do not describe every possible combination.
Those skilled in the art will understand that all or part of the steps in the method according to the above embodiments may be implemented by a program, which is stored in a storage medium and includes several instructions to enable a single chip, a chip, or a processor (processor) to execute all or part of the steps in the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In addition, any combination of various different implementation manners of the embodiments of the present invention is also possible, and the embodiments of the present invention should be considered as disclosed in the embodiments of the present invention as long as the combination does not depart from the spirit of the embodiments of the present invention.
Claims (11)
1. A method for monitoring heat stress behavior of a cow, the method comprising:
acquiring milk cow monitoring information and environment monitoring information, wherein the milk cow monitoring information and the environment monitoring information are non-contact monitoring information;
determining cow behavior information based on the cow monitoring information;
acquiring a preset heat stress early warning model;
and processing the environment monitoring information and the cow behavior information based on the preset heat stress early warning model to generate a corresponding heat stress behavior monitoring result.
2. The method of claim 1, wherein the obtaining cow monitoring information comprises:
acquiring video monitoring information for the dairy cow;
performing identity recognition on each cow based on the video monitoring information to generate identity recognition information of each cow;
and taking the identification information and the video monitoring information as the cow monitoring information.
3. The method of claim 2, wherein the obtaining environmental monitoring information comprises:
acquiring temperature information and humidity information of the current feeding environment;
determining corresponding environmental index information based on the temperature information and the humidity information;
and taking the environment index information as the environment monitoring information.
4. The method of claim 1, wherein the obtaining of the preset heat stress early warning model comprises:
acquiring an initial early warning model, wherein the initial early warning model comprises environmental parameters and cow behavior parameters;
acquiring historical monitoring information;
training the initial early warning model based on the historical monitoring information to generate a post-training early warning model, wherein the post-training early warning model comprises the corresponding relation between the environmental parameters and the cow behavior parameters;
and taking the trained early warning model as a preset heat stress early warning model.
5. The method as claimed in claim 3, wherein the environmental index information is a warm environmental index, and the processing the environmental monitoring information and the cow behavior information based on the preset heat stress early warning model to generate the corresponding heat stress behavior monitoring result comprises:
acquiring a preset index threshold;
judging whether the index of the warm environment is larger than the preset index threshold value in real time;
in the event that the warm environment index is greater than the preset index threshold:
judging whether abnormal cows with abnormal heat stress response exist or not based on the cow behavior information;
if an abnormal cow exists, generating first early warning information based on the identification information of the abnormal cow;
if no abnormal cow exists, generating second early warning information corresponding to the warm environment index;
and taking the first early warning information or the second early warning information as the monitoring result of the heat stress behavior.
6. A heat stress behavior monitoring device of a cow, the device comprising:
the system comprises an information acquisition unit, a monitoring unit and a monitoring unit, wherein the information acquisition unit is used for acquiring milk cow monitoring information and environment monitoring information which are non-contact monitoring information;
a behavior determining unit for determining cow behavior information based on the cow monitoring information;
the model acquisition unit is used for acquiring a preset heat stress early warning model;
and the monitoring unit is used for processing the environment monitoring information and the cow behavior information based on the preset heat stress early warning model to generate a corresponding heat stress behavior monitoring result.
7. The apparatus according to claim 6, wherein the information obtaining unit includes a first sub-information obtaining unit, and the first sub-information obtaining unit is specifically configured to:
acquiring video monitoring information for the dairy cow;
performing identity recognition on each cow based on the video monitoring information to generate identity recognition information of each cow;
and taking the identification information and the video monitoring information as the milk cow monitoring information.
8. The apparatus according to claim 7, wherein the information obtaining unit includes a second sub-information obtaining unit, and the second sub-information obtaining unit is specifically configured to:
acquiring temperature information and humidity information of the current feeding environment;
determining corresponding environmental index information based on the temperature information and the humidity information;
and taking the environment index information as the environment monitoring information.
9. The apparatus according to claim 6, wherein the model obtaining unit comprises:
the early warning system comprises an initial model acquisition module, a pre-warning module and a warning module, wherein the initial model acquisition module is used for acquiring an initial early warning model which comprises environmental parameters and cow behavior parameters;
the historical information acquisition module is used for acquiring historical monitoring information;
the model training module is used for training the initial early warning model based on the historical monitoring information to generate a post-training early warning model, and the post-training early warning model comprises the corresponding relation between the environmental parameters and the cow behavior parameters;
and the model determining module is used for taking the trained early warning model as a preset heat stress early warning model.
10. The apparatus of claim 8, wherein the environment index information is a warm environment index, and the monitoring unit comprises:
the threshold value obtaining module is used for obtaining a preset index threshold value;
the judging module is used for judging whether the index of the warm environment is greater than the preset index threshold value in real time; in the event that the warm environment index is greater than the preset index threshold:
judging whether abnormal cows with abnormal heat stress response exist or not based on the cow behavior information;
if an abnormal cow exists, generating first early warning information based on the identification information of the abnormal cow;
if no abnormal cow exists, generating second early warning information corresponding to the warm environment index;
and the monitoring module is used for taking the first early warning information or the second early warning information as the heat stress behavior monitoring result.
11. A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, is adapted to carry out the method of any one of claims 1 to 5.
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| CN202210064632.9A CN114532248B (en) | 2022-01-20 | 2022-01-20 | Heat stress behavior monitoring method and monitoring device for dairy cow |
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