CN113379329A - Livestock data management method and device, electronic equipment and computer readable storage medium - Google Patents
Livestock data management method and device, electronic equipment and computer readable storage medium Download PDFInfo
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Abstract
The embodiment of the invention provides a livestock data management method, a livestock data management device, electronic equipment and a computer-readable storage medium, wherein the method comprises the following steps: receiving a target livestock selected by a user; searching information of a target livestock in a livestock information database, wherein the livestock information database is constructed by livestock information of different livestock, epidemic prevention data of different livestock, disease diagnosis and treatment data of different livestock, drug holiday data of different livestock and target data of different livestock; and processing the information of the target livestock to obtain the target information of the target livestock. Through the livestock data management method that provides of this application, management domestic animal data that can be convenient more, swift to based on domestic animal data, the plant can utilize the target information of target domestic animal, realizes accurate epidemic prevention, and the disease is diagnose, and the meat after the strict control domestic animal is dosed, dairy products animal remedy are remained, ensure the edible safety and the human health of meat, dairy products.
Description
Technical Field
The invention relates to the field of data management, in particular to a livestock data management method, a livestock data management device, electronic equipment and a computer-readable storage medium.
Background
At present, the use of livestock epidemic prevention, drug withdrawal period and veterinary drugs for livestock lacks of systematic and effective supervision, and the detection of the veterinary drug residue of meat and dairy products lacks of technical resources and detection equipment, and is limited by the detection experience and equipment use; unqualified meat and dairy products can only be destroyed, which causes waste of manpower and material resources and economic loss. For releasing epidemic prevention data, livestock farms need to record epidemic prevention activities of livestock one by one, and the activities of epidemic prevention, livestock disease management and the like are managed automatically according to experience, professional level and economic condition of each farm, so that the problems of unreasonable epidemic prevention time, unreasonable epidemic prevention objects, epidemic prevention omission, disease misdiagnosis and the like can occur.
Therefore, the management efficiency of livestock data, epidemic prevention and livestock diseases is low at present.
Disclosure of Invention
Objects of the present invention include, for example, providing a livestock data management method, apparatus, electronic device, and computer-readable storage medium, which are capable of efficiently managing livestock data.
Embodiments of the invention may be implemented as follows:
in a first aspect, an embodiment of the present application provides a livestock data management method, where the method includes: receiving a target livestock selected by a user;
searching information of the target livestock in a livestock information database, wherein the livestock information database is constructed by livestock information of different livestock, epidemic prevention data of different livestock, drug holiday data of different livestock and target data of different livestock, and the livestock information corresponds to the epidemic prevention data of different livestock, the drug holiday data of different livestock and the target data of different livestock;
and processing the information of the target livestock to obtain the target information of the target livestock.
In an alternative embodiment, the livestock information of the different livestock comprises:
animal house numbers, stall numbers, livestock numbers and birth dates of different livestock;
in an alternative embodiment, the epidemic prevention data comprises: weaning period, marketing expectation, oestrus date, first mating date, gestation period, expected delivery date, farrowing date, epidemic prevention object, vaccine type, epidemic prevention time, epidemic prevention expectation, first immunization date and second immunization date;
the drug holiday data comprise: growth date, disease type, veterinary drug withdrawal period and final administration date of different livestock;
the target data includes: disease symptoms, disease type, veterinary drug type and dosage, and treatment date.
In an alternative embodiment, the step of searching the livestock information database for information of the target livestock comprises:
searching the type, the category, the birth date, the growth date, the epidemic prevention object and the epidemic prevention time of the target livestock from the livestock information database;
the step of obtaining the target information of the target livestock after processing the information of the target livestock comprises:
calculating the type of the used vaccine and the epidemic prevention expectation of the target livestock based on the type, the birth date, the growth date, the epidemic prevention object and the epidemic prevention time of the target livestock.
In an alternative embodiment, the step of searching the livestock information database for information of the target livestock comprises:
searching the type, the category, the birth date, the growth date, the disease type, the veterinary drug type and the final medication date of the target livestock from the livestock information database;
the step of obtaining the target information of the target livestock after processing the information of the target livestock comprises:
calculating the termination date of the drug holiday of the target livestock based on the type, category, birth date, growth date, disease type, veterinary drug type and final medication date of the target livestock.
In an alternative embodiment, the step of searching the livestock information database for information of the target livestock comprises:
searching the category, birth date, growth date and disease symptoms of the target livestock from the livestock information database;
the step of obtaining the target information of the target livestock after processing the information of the target livestock comprises:
determining a target disease category for the target livestock based on the category, class, birth date, growth date, and disease symptoms of the target livestock;
determining the type and dosage of veterinary drugs used corresponding to the target disease type.
In a second aspect, an embodiment of the present application provides a livestock data management device, which includes a receiving module and a processing module:
the receiving module is specifically configured to: receiving a target livestock selected by a user;
the processing module is specifically configured to: searching information of the target livestock in a livestock information database, wherein the livestock information database is constructed by livestock information of different livestock, epidemic prevention data of different livestock, drug holiday data of different livestock and target data of different livestock, and the livestock information corresponds to the epidemic prevention data of different livestock, the drug holiday data of different livestock and the target data of different livestock;
and processing the information of the target livestock to obtain the target information of the target livestock.
In a third aspect, an embodiment of the present application provides an electronic device, which includes a memory and a processor, where the memory stores a computer program, and the processor implements the steps of the livestock data management method when executing the computer program.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium on which a computer program is stored, which, when executed by a processor, implements the steps of the livestock data management method.
The application has the following beneficial effects: by receiving a user selected target livestock; searching information of target livestock in a livestock information database, wherein the livestock information database is constructed by livestock information of different livestock, epidemic prevention data of different livestock, drug holiday data of different livestock and target data of different livestock; and processing the information of the target livestock to obtain the target information of the target livestock. Through the livestock data management method that provides of this application, can be more convenient, swift management domestic animal data to based on domestic animal data, the plant can utilize the target information of target domestic animal, realizes accurate epidemic prevention, disease data management, and the meat after the strict control domestic animal is dosed, dairy products animal remedy are remained, ensure the edible safety and the human health of meat, dairy products.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a block diagram of an electronic device according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating a livestock data management method according to an embodiment of the present invention;
fig. 3 is a second schematic flowchart of a livestock data management method according to an embodiment of the invention;
fig. 4 is a third schematic flowchart of a livestock data management method according to an embodiment of the invention;
fig. 5 is a fourth schematic flowchart of a livestock data management method according to an embodiment of the present invention;
fig. 6 is a block diagram of a livestock data management apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
In the description of the present invention, it should be noted that if the terms "upper", "lower", "inside", "outside", etc. indicate an orientation or a positional relationship based on that shown in the drawings or that the product of the present invention is used as it is, this is only for convenience of description and simplification of the description, and it does not indicate or imply that the device or the element referred to must have a specific orientation, be constructed in a specific orientation, and be operated, and thus should not be construed as limiting the present invention.
Furthermore, the appearances of the terms "first," "second," and the like, if any, are used solely to distinguish one from another and are not to be construed as indicating or implying relative importance.
In some schemes for managing livestock data, human management, statistics, and analysis of the livestock data are generally required.
However, through a great deal of research by the inventor, the management method is time-consuming and inefficient.
In view of the above-mentioned findings, the present embodiments provide a livestock data management method, apparatus, electronic device, and computer-readable storage medium, which can improve the efficiency of livestock data management.
The embodiment provides an electronic device capable of managing livestock data. In one possible implementation, the electronic Device may be a user terminal, for example, the electronic Device may be, but is not limited to, a server, a smart phone, a Personal Computer (PC), a tablet computer, a Personal Digital Assistant (PDA), a Mobile Internet Device (MID).
The electronic device may have a component capable of Processing livestock data management, such as a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), and the like, so as to execute the livestock data management method provided by the present embodiment.
In another possible implementation manner, the electronic device may also be a server capable of communicating with the user terminal. The server may receive a target livestock selected by a user; searching information of target livestock in a livestock information database, wherein the livestock information database is constructed by livestock information of different livestock, epidemic prevention data of different livestock, drug holiday data of different livestock and target data of different livestock; and processing the information of the target livestock to obtain the target information of the target livestock.
It should be noted that the features of the embodiments of the present invention may be combined with each other without conflict.
Please refer to fig. 1, which illustrates a schematic structure of the electronic device 100. The electronic device 100 includes a livestock data management apparatus 110, a memory 120, and a processor 130.
The elements of the memory 120 and the processor 130 are electrically connected to each other directly or indirectly to achieve data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The livestock data management apparatus 110 includes at least one software function module which can be stored in the memory 120 in the form of software or Firmware (Firmware) or solidified in an Operating System (OS) of the electronic device 100. The processor 130 is used for executing executable modules stored in the memory 120, such as software functional modules and computer programs included in the livestock data management device 110. The computer-executable instructions in the livestock data management device 110, when executed by a processor, implement the livestock data management method.
The Memory 120 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like. The memory 120 is used for storing a program, and the processor 130 executes the program after receiving the execution instruction.
The processor 130 may be an integrated circuit chip having signal processing capabilities. The Processor may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; but may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
Referring to fig. 2, fig. 2 is a flowchart illustrating a livestock data management method applied to the electronic device 100 shown in fig. 1, and the method including various steps will be described in detail below.
Step 201: receiving target livestock selected by a user.
Step 202: and searching the information of the target livestock in the livestock information database.
Step 203: and processing the information of the target livestock to obtain the target information of the target livestock.
When a user needs to view related information of a certain target livestock or obtain target information after processing based on the related information, the selection operation of the user on the target livestock needs to be determined first.
The livestock information database is constructed by the livestock information of different livestock, epidemic prevention data of different livestock, drug holiday data of different livestock and target data of different livestock. The livestock information corresponds to epidemic prevention data of different livestock, drug holiday data of different livestock and target data of different livestock.
Different livestock information includes being files, and the livestock information includes types of livestock, such as: pigs, cattle, sheep, etc., livestock categories including breeding stock, replacement stock, dairy stock, commodity stock, etc., animal house numbers, stall numbers, livestock numbers (wearing equipment), livestock birth dates, etc.
Epidemic prevention data includes: weaning period, slaughtering period, estrus date, first mating date, gestation period, expected delivery period, farrowing date, epidemic prevention object, vaccine type, epidemic prevention time, epidemic prevention period, first immunization date, second immunization date, etc. of different livestock.
The withdrawal period data includes: growth date, pre-marketing date, disease type, veterinary drug withdrawal period, final administration date, etc. of different livestock.
The target data includes: the formulation, disease symptoms, disease types, veterinary drug types and dosage, and treatment date.
The data are obtained by breeding enterprises (farms), suppliers (feeds, vaccines, veterinary drugs, equipment and the like), buyers (slaughtering enterprises), storage and transportation mechanisms, technical service mechanisms, financial mechanisms, insurance mechanisms and the like.
And searching the information of the target livestock from the livestock information database based on the target livestock selected by the user. The information of the target livestock includes: the livestock species, type, breed, barn number, livestock birth date, weaning date, slaughter expectation, estrus date, first-year date, mating date, gestation period, edd date, farrowing date, first-year date, disease symptom, disease species, veterinary drug species, treatment date, etc. of the target livestock.
To calculate epidemic prevention information, in one embodiment, for step 202 and step 203, as shown in fig. 3, the livestock data management method includes:
step 301: and acquiring the type, the category, the birth date, the growth date, the epidemic prevention object and the epidemic prevention time of the target livestock from the livestock information data.
Step 302: calculating the type of the vaccine used and the epidemic prevention expectation of the target livestock based on the type, the birth date, the growth date, the epidemic prevention object and the epidemic prevention time of the target livestock.
The epidemic prevention information can be the epidemic prevention date of the target livestock, wherein the epidemic prevention date is the basic data of the livestock individual plus the epidemic prevention day age or the fixed epidemic prevention time of the vaccine.
For example: the epidemic prevention date of a certain infectious disease aiming at the target livestock is equal to the birth date of the newborn animal plus the epidemic prevention day age of the vaccine; the epidemic prevention for a certain disease of a certain breeding stock is postpartum A day, and the epidemic prevention date is farrowing date + A day; automatically planning a complete epidemic prevention plan of the target livestock according to the livestock information and the epidemic prevention data of the target livestock; the system can realize accurate management of infectious disease epidemic prevention, epidemic prevention overdue alarm and the like for livestock individuals, and effectively prevent the occurrence and the prevalence of livestock infectious diseases and zoonosis diseases.
To calculate the expiration date of the drug holiday, with respect to step 202 and step 203, in one embodiment, as shown in fig. 4, the livestock data management method includes:
step 401: obtaining the type, category, livestock number, birth date, disease type, veterinary drug type and final administration date of the target livestock from the livestock information database.
Step 402: calculating the termination date of the drug holiday of the target livestock based on the type, category, birth date, growth date, disease type, veterinary drug type and final medication date of the target livestock.
Based on the type, category, livestock number, birth date, growth date, disease symptom, disease type, veterinary drug type, and last administration date information of the target livestock, the date of pre-listing (pre-marketing) of the target livestock, the expiration date of the drug withdrawal period or the milk discard period is automatically calculated.
The drug holiday refers to the time interval from the cessation of dosing to the approval of slaughter or the approval of their milk for marketing. The withdrawal period is determined according to the elimination rule of the medicine in the livestock body, namely, the medicine is administered according to the maximum dose and the longest administration period, slaughtering is carried out at different time points after the medicine is stopped, and each tissue or dairy product is collected to carry out the detection of the residual quantity of the veterinary medicine until no medicine residue is detected in all the tissues and dairy products collected at the last time point.
In addition to calculating the termination date of the drug holiday based on the growth date, the final medication date, and the drug information of the target livestock, the target livestock may be compared with the "drug holiday (pre-marketing) date" and the "drug holiday termination date", and if the drug holiday termination date is later than the pre-marketing (marketing) date, "a fence holiday warning" of the target livestock may be output. Delay the livestock to be delivered, and take the withdrawal expiration date as the safe delivery date (safe listing date) of the target livestock.
The target information of the target livestock is the pre-marketing date, the drug holiday termination date and the safe marketing date of the target livestock.
The livestock pre-marketing date (pre-marketing) is the date of birth + growth period (day) of marketing, and the drug holiday termination date (dairy product restoration marketing date) is the date of last administration stop of livestock + drug holiday specified by the country for different types and categories of livestock. In order to address the treatment plan for the target livestock, in one embodiment, as shown in fig. 5, the livestock data management method includes, for step 202 and step 203:
step 501: the type, category, livestock number, birth date, growth date and disease symptoms of the target livestock are obtained from the livestock information data.
Step 502: the target disease species of the target livestock is determined based on the target livestock species, class, birth date, growth date, and disease symptoms.
Step 503: determining the type and dosage of veterinary drug corresponding to the target disease.
For example: determining target livestock, determining disease symptoms of the target livestock, and determining disease types and corresponding veterinary drug types and dosages based on the disease symptoms.
The embodiment can treat livestock timely and effectively, prevent the spread and diffusion of livestock diseases, and reduce the death rate.
Referring to fig. 6, the present embodiment further provides a livestock data management apparatus 110 applied to the electronic device 100 of fig. 1, where the livestock data management apparatus 110 includes:
receiving module 111 and processing module 112:
the obtaining module 111 is configured to: receiving a target livestock selected by a user;
the processing module 112 is specifically configured to: searching information of the target livestock in a livestock information database, wherein the livestock information database is constructed by livestock information of different livestock, epidemic prevention data of different livestock, drug holiday data of different livestock and target data of different livestock, and the livestock information corresponds to the epidemic prevention data of different livestock, the drug holiday data of different livestock and the target data of different livestock;
and processing the information of the target livestock to obtain the target information of the target livestock.
Optionally, in some possible implementations, the livestock information of the different livestock includes:
the type, category, stall number, livestock number and birth date of different livestock;
the epidemic prevention data comprises: weaning period, marketing expectation, oestrus date, first mating date, gestation period, expected delivery date, farrowing date, epidemic prevention object, vaccine type, epidemic prevention time, epidemic prevention expectation, first immunization date and second immunization date;
the drug holiday data comprise: growth date, pre-marketing date, disease type, veterinary drug withdrawal period and final administration date of different livestock;
the target data includes: the formulation, disease symptoms, disease types, veterinary drug types and dosage, and treatment date.
Optionally, in some possible implementations, the processing module 112 is further configured to: searching the type, the category, the birth date, the growth date, the epidemic prevention object and the epidemic prevention time of the target livestock from the livestock information database; calculating the type of the used vaccine and the epidemic prevention expectation of the target livestock based on the type, the birth date, the growth date, the epidemic prevention object and the epidemic prevention time of the target livestock.
Optionally, in some possible implementations, the processing module 112 is further configured to: searching the type, the category, the birth date, the growth date, the disease type, the veterinary drug type and the final medication date of the target livestock from the livestock information database; calculating the termination date of the drug holiday of the target livestock based on the type, category, birth date, growth date, disease type, veterinary drug type and final medication date of the target livestock.
Optionally, in some possible implementations, the processing module 112 is further configured to: searching the category, birth date, growth date and disease symptoms of the target livestock from the livestock information database; determining a target disease category for the target livestock based on the category, class, birth date, growth date, and disease symptoms of the target livestock;
determining the type and dosage of veterinary drugs used corresponding to the target disease type.
In summary, the present application receives a target livestock selected by a user; searching information of target livestock in a livestock information database, wherein the livestock information database is constructed by livestock information of different livestock, epidemic prevention data of different livestock, drug holiday data of different livestock and target data of different livestock; and processing the information of the target livestock to obtain the target information of the target livestock. Through the livestock data management method that provides of this application, can be more convenient, swift management domestic animal data to based on domestic animal data, the plant can utilize the target information of target domestic animal, realizes accurate epidemic prevention, disease data management, and the meat after the strict control domestic animal is dosed, dairy products animal remedy are remained, ensure the edible safety and the human health of meat, dairy products.
The present application further provides an electronic device 100, where the electronic device 100 includes a memory 120 and a processor 130. The memory 120 stores computer-executable instructions that, when executed by the processor 130, implement the livestock data management method.
An embodiment of the present application further provides a computer-readable storage medium, in which a computer program is stored, and when the computer program is executed by the processor 130, the livestock data management method is implemented.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part. The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of 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.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above description is only for various embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of changes or substitutions within the technical scope of the present application, and all such changes or substitutions are included in the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A livestock data management method, characterized in that the method comprises:
receiving a target livestock selected by a user;
searching information of the target livestock in a livestock information database, wherein the livestock information database is constructed by livestock information of different livestock, epidemic prevention data of different livestock, drug holiday data of different livestock and target data of different livestock, and the livestock information corresponds to the epidemic prevention data of different livestock, the drug holiday data of different livestock and the target data of different livestock;
and processing the information of the target livestock to obtain the target information of the target livestock.
2. The method of claim 1, wherein the livestock information of the different livestock comprises:
the type, category, stall number, livestock number and birth date of different livestock;
the epidemic prevention data comprises: weaning period, marketing expectation, oestrus date, first mating date, gestation period, expected delivery period, farrowing date, epidemic prevention object, vaccine type, epidemic prevention time, epidemic prevention expectation, first immunization date and second immunization date;
the drug holiday data comprise: growth date, pre-marketing date, disease type, veterinary drug withdrawal period and final administration date of different livestock;
the target data includes: the formulation, disease symptoms, disease type, veterinary drug type and dosage, treatment regimen and treatment date.
3. The method of claim 2, wherein the step of searching the livestock information database for information about the target livestock comprises:
searching the type, the category, the birth date, the growth date, the epidemic prevention object and the epidemic prevention time of the target livestock from the livestock information database;
the step of obtaining the target information of the target livestock after processing the information of the target livestock comprises:
calculating the type of the used vaccine and the epidemic prevention expectation of the target livestock based on the type, the birth date, the growth date, the epidemic prevention object and the epidemic prevention time of the target livestock.
4. The method of claim 2, wherein the step of searching the livestock information database for information about the target livestock comprises:
searching the type, the category, the birth date, the growth date, the disease type, the veterinary drug type and the final medication date of the target livestock from the livestock information database;
the step of obtaining the target information of the target livestock after processing the information of the target livestock comprises:
calculating the termination date of the drug holiday of the target livestock based on the type, category, birth date, growth date, disease type, veterinary drug type and final medication date of the target livestock.
5. The method of claim 2, wherein the step of searching the livestock information database for information about the target livestock comprises:
searching the category, birth date, growth date and disease symptoms of the target livestock from the livestock information database; the step of obtaining the target information of the target livestock after processing the information of the target livestock comprises:
determining a target disease category for the target livestock based on the category, class, birth date, growth date, and disease symptoms of the target livestock;
determining the type and dosage of veterinary drugs used corresponding to the target disease type.
6. A livestock data management apparatus, characterized in that the apparatus comprises a receiving module and a processing module:
the receiving module is specifically configured to: receiving target livestock information selected by a user;
the processing module is specifically configured to: searching information of the target livestock in a livestock information database, wherein the livestock information database is constructed by livestock information of different livestock, epidemic prevention data of different livestock, drug holiday data of different livestock and target data of different livestock, and the livestock information corresponds to the epidemic prevention data of different livestock, the drug holiday data of different livestock and the target data of different livestock;
and processing the information of the target livestock to obtain the target information of the target livestock.
7. The apparatus of claim 6, wherein the livestock information of the different livestock comprises:
the type, category, stall number, livestock number and birth date of different livestock;
the epidemic prevention data comprises: weaning period, marketing expectation, oestrus date, first mating date, gestation period, expected delivery date, farrowing date, epidemic prevention object, vaccine type, epidemic prevention time, epidemic prevention expectation, first immunization date and second immunization date;
the drug holiday data comprise: growth date, disease type, veterinary drug withdrawal period and final administration date of different livestock;
the target data includes: disease symptoms, disease type, veterinary drug type and dosage, and treatment date.
8. The apparatus of claim 7, wherein the processing module is specifically configured to:
searching the type, the category, the birth date, the growth date, the epidemic prevention object and the epidemic prevention time of the target livestock from the livestock information database;
calculating the type of the used vaccine and the epidemic prevention expectation of the target livestock based on the type, the birth date, the growth date, the epidemic prevention object and the epidemic prevention time of the target livestock.
9. An electronic device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method according to any one of claims 1-5 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 5.
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