System and method for bidding breeding living bodies according to adult value in incubation period

Abstract

The invention belongs to the technical field of livestock breeding, and particularly relates to a bidding system for breeding living bodies in an incubation period according to adult value, which comprises a livestock breeding period model, an adult livestock model, a bidding and bidding module and a customer query module, and is characterized in that the livestock breeding period model and the adult livestock model are used for evaluating the value of livestock during slaughtering; the evaluated value and various breeding data are uploaded to a bidding module for customers to look up, various bidding rules are sent out, and finally bidding is carried out through a customer query module. According to the invention, the data model is established during the livestock breeding period, the model is used to deduce and evaluate the value of the livestock marketing data, bidding is carried out on the basis of the value evaluation, pre-selling is completed during the breeding period, the original selling time is prolonged to the whole breeding period, the selling pressure is reduced, and the marketing efficiency is improved. Meanwhile, the slaughtered livestock is prevented from occupying the farm, the next batch of livestock can be bred after slaughtering, and the economic benefit of livestock breeding is increased.

Description

Technical Field

[0001] This invention relates to the field of livestock breeding technology, specifically to a system and method for competitive bidding of live animals raised during the gestation period based on their adult value. Background Technology

[0002] With the rapid development of my country's economy and the gradual improvement of people's living standards, people have put forward higher requirements for the quality of life. In particular, the diversified development trend of international market demand for meat products has promoted the rapid development of my country's livestock and poultry breeding industry. In order to reduce breeding costs, large-scale breeding is often adopted. After the livestock are raised to market weight, they are sold. Due to the large quantity, the sales process is slow and takes a long time. This not only increases costs, but also occupies the farm during the sales period, affecting the breeding of the next batch of livestock and reducing economic benefits. Summary of the Invention

[0003] (a) Technical problems to be solved

[0004] To address the shortcomings of existing technologies, this invention provides a system and method for competitive bidding of live livestock raised during the gestation period based on their adult value. This solves the problem that large-scale livestock farming and subsequent sales are slow, time-consuming, and increase farming costs, while also affecting the breeding of the next batch of livestock.

[0005] (II) Technical Solution

[0006] To achieve the above objectives, the present invention specifically adopts the following technical solution:

[0007] A system for bidding on live livestock raised during the gestation period based on their adult value includes a livestock gestation period model, an adult livestock model, a bidding module, and a customer query module.

[0008] The livestock breeding period model is established by using various growth data of livestock during the breeding period to understand the growth of livestock in real time.

[0009] The adult livestock model uses data from the database to build a model of the livestock's adult slaughter time, allowing customers to intuitively understand the approximate data of the livestock when it reaches adulthood and can then estimate the price of the livestock for pre-sale.

[0010] The bidding module collects and displays various data from the livestock breeding period model and the adult livestock model, allowing customers to query various data of the livestock to be sold in advance, make estimated bids, and display the bidding results.

[0011] The customer query module allows customers to estimate the value of livestock for sale and input the valuation information into the bidding module for bidding.

[0012] Furthermore, the livestock breeding period model is established using data collected by the livestock growth period data acquisition module;

[0013] The livestock growth period data acquisition module collects breeding environment data, livestock physiological data, and breeding operation records. The data is automatically collected through technologies such as sensors, cameras, and RFID, and the collected data is processed and stored for easy access at any time.

[0014] Furthermore, the bidding module assesses the value of the livestock to be sold based on data from the adult livestock model, formulates the assessment results, establishes bidding rules, publishes bidding information, accepts bidding requests from bidders, and records the bidding process and results. At the same time, this module connects with an internet auction platform to realize online bidding.

[0015] It also includes a bid confirmation module: after the bidding ends, the successful bidder and the unsuccessful bidder are determined according to the bidding rules and algorithm, and a bid-winning notification is sent to the successful bidder.

[0016] A method for competitive bidding of live cultured animals during their gestation period based on their adult value includes the following steps:

[0017] S1. Data Collection: The data collection module automatically collects data such as aquaculture environment data, physiological data of aquaculture animals, and aquaculture operation records. The frequency and cycle of data collection can be set according to actual needs.

[0018] S2. Data Processing: The collected data is cleaned, organized, and transformed. The processed data is used to build a livestock breeding period model for subsequent analysis and evaluation. The data processing process includes operations such as removing duplicate and abnormal data and filling in missing data. At the same time, an adult livestock model is built using the adult livestock data in the database.

[0019] S3. Adult Value Assessment: Based on information from livestock breeding period models and adult livestock models, the adult value of each livestock is assessed. The assessment results can provide a reference for bidding.

[0020] S4. Formulate bidding rules: Based on the evaluation results, formulate bidding rules, including the starting price, increment, and bidding time;

[0021] S5. Publish bidding information: Publish bidding information to the bidding module for bidders to view and participate in the bidding. The bidding information includes detailed information such as the breed and quantity of livestock, the estimated value of adult livestock, and the bidding rules.

[0022] S6. Customer participation in bidding: Customers can bid within a specified time using the customer query module based on their own needs and budget. The system records the bidding process and results, including information such as each customer's bid and time.

[0023] S7. Confirmation of Winning Bid: After the bidding ends, the winning bidder and the unsuccessful bidders are determined according to the bidding rules and algorithm. The winning bidder's bid should be higher than or equal to the starting price and be the highest bid. The system sends a notification of winning the bid to the winning bidder and announces the bidding results.

[0024] S8. Subsequent breeding management: After winning the bid, the breeding personnel shall carry out subsequent breeding management in accordance with the pre-agreed rules, including feed delivery, medication, vaccination, etc. The system shall record the breeding management data so that the livestock can be evaluated and verified when they reach adulthood and are ready for slaughter.

[0025] Furthermore, the subsequent aquaculture management also includes the following steps:

[0026] Adult value verification: During the breeding process, the adult value of the live animals is verified regularly, such as by measuring the actual weight and appearance score. If there is a large difference between the actual adult value and the predicted value, the prediction model can be adjusted and optimized.

[0027] Data Analysis and Optimization: Based on the data in the aquaculture database, data mining and analysis techniques are used to understand the problems and improvement directions in the aquaculture process, optimize aquaculture techniques and processes, and at the same time, optimize and adjust the adult value assessment module to improve the assessment accuracy.

[0028] System maintenance and upgrades: Regularly maintain and upgrade the system to ensure its stability and security. At the same time, new functional modules can be added to improve the system's intelligence and automation level.

[0029] (III) Beneficial Effects

[0030] Compared with the prior art, the present invention provides a system and method for competitive bidding of live animals raised during the gestation period based on their adult value, which has the following beneficial effects:

[0031] This invention establishes a data model during livestock breeding, uses the model to infer and assess the value of livestock ready for market, conducts competitive bidding based on the value assessment, and completes pre-sales during the breeding period. This extends the original sales period to the entire breeding period, reduces sales pressure, and also avoids livestock from occupying the farm after they are ready for market, ensuring that the next batch of livestock can be raised immediately after they are ready for market, thereby expanding the economic benefits of livestock breeding. Attached Figure Description

[0032] Figure 1 This is a schematic diagram of the structure of the present invention. Detailed Implementation

[0033] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0034] Example

[0035] like Figure 1 As shown in one embodiment of the present invention, a system for bidding on live livestock during the gestation period based on their adult value includes a livestock gestation period model, an adult livestock model, a bidding module, and a customer query module.

[0036] Livestock breeding period model: A model is built using various growth data of livestock during the breeding period, so as to understand the growth of livestock in real time.

[0037] The adult livestock model uses data from the database to build a model of the livestock's adult slaughter time, allowing customers to intuitively understand the approximate data of the livestock when it reaches adulthood and can then estimate the price of the livestock for pre-sale.

[0038] The bidding module collects and displays various data from livestock breeding period models and adult livestock models, allowing customers to query various data of pre-sale livestock, make estimated bids, and display the bidding results.

[0039] The customer inquiry module allows customers to estimate the value of livestock for sale and then input the valuation information into the bidding module for bidding.

[0040] Among them, the livestock breeding period model is established using data collected by the livestock growth period data acquisition module;

[0041] The livestock growth period data acquisition module collects breeding environment data, livestock physiological data, and breeding operation records. The data is automatically collected through technologies such as sensors, cameras, and RFID, and the collected data is processed and stored for easy access at any time.

[0042] The bidding module assesses the value of livestock to be sold based on data from the adult livestock model, formulates the assessment results, establishes bidding rules, publishes bidding information, accepts bidding requests from bidders, and records the bidding process and results. At the same time, this module connects with the Internet auction platform to realize online bidding.

[0043] It also includes a bid confirmation module: after the bidding ends, the successful bidder and the unsuccessful bidder are determined according to the bidding rules and algorithm, and a bid-winning notification is sent to the successful bidder.

[0044] A method for competitive bidding of live cultured animals during their gestation period based on their adult value includes the following steps:

[0045] S1. Data Collection: The data collection module automatically collects data such as aquaculture environment data, physiological data of aquaculture animals, and aquaculture operation records. The frequency and cycle of data collection can be set according to actual needs.

[0046] S2. Data Processing: The collected data is cleaned, organized, and transformed. The processed data is used to build a livestock breeding period model for subsequent analysis and evaluation. The data processing process includes operations such as removing duplicate and abnormal data and filling in missing data. At the same time, an adult livestock model is built using the adult livestock data in the database.

[0047] S3. Adult Value Assessment: Based on information from livestock breeding period models and adult livestock models, the adult value of each livestock is assessed. The assessment results can provide a reference for bidding.

[0048] S4. Formulate bidding rules: Based on the evaluation results, formulate bidding rules, including the starting price, increment, and bidding time;

[0049] S5. Publish bidding information: Publish bidding information to the bidding module for bidders to view and participate in the bidding. The bidding information includes detailed information such as the breed and quantity of livestock, the estimated value of adult livestock, and the bidding rules.

[0050] S6. Customer participation in bidding: Customers can bid within a specified time using the customer query module based on their own needs and budget. The system records the bidding process and results, including information such as each customer's bid and time.

[0051] S7. Confirmation of Winning Bid: After the bidding ends, the winning bidder and the unsuccessful bidders are determined according to the bidding rules and algorithm. The winning bidder's bid should be higher than or equal to the starting price and be the highest bid. The system sends a notification of winning the bid to the winning bidder and announces the bidding results.

[0052] S8. Subsequent breeding management: After winning the bid, the breeding personnel shall carry out subsequent breeding management in accordance with the pre-agreed rules, including feed delivery, medication, vaccination, etc. The system shall record the breeding management data so that the livestock can be evaluated and verified when they reach adulthood and are ready for slaughter.

[0053] This also includes the following steps:

[0054] Adult value verification: During the breeding process, the adult value of the live animals is verified regularly, such as by measuring the actual weight and appearance score. If there is a large difference between the actual adult value and the predicted value, the prediction model can be adjusted and optimized.

[0055] Data Analysis and Optimization: Based on the data in the aquaculture database, data mining and analysis techniques are used to understand the problems and improvement directions in the aquaculture process, optimize aquaculture techniques and processes, and at the same time, optimize and adjust the adult value assessment module to improve the assessment accuracy.

[0056] System maintenance and upgrades: Regularly maintain and upgrade the system to ensure its stability and security. At the same time, new functional modules can be added to improve the system's intelligence and automation level.

[0057] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A system for bidding on live livestock raised during the gestation period based on their adult value, comprising a livestock breeding period model, an adult livestock model, a bidding module, and a customer query module, characterized in that: The livestock breeding period model is established by using various growth data of livestock during the breeding period to understand the growth of livestock in real time. The adult livestock model uses data from the database to build a model of the livestock's adult slaughter time, allowing customers to intuitively understand the approximate data of the livestock when it reaches adulthood and can then estimate the price of the livestock for pre-sale. The bidding module collects and displays various data from the livestock breeding period model and the adult livestock model, allowing customers to query various data of the livestock to be sold in advance, make estimated bids, and display the bidding results. The customer query module allows customers to estimate the value of livestock for sale and input the valuation information into the bidding module for bidding.

2. The system for competitive bidding of live animals raised during the gestation period based on their adult value, as described in claim 1, is characterized in that: The livestock breeding period model is established using data collected by the livestock growth period data acquisition module. The livestock growth period data acquisition module collects breeding environment data, livestock physiological data, and breeding operation records. The data is automatically collected through technologies such as sensors, cameras, and RFID, and the collected data is processed and stored for easy access at any time.

3. The system for competitive bidding of live animals raised during the gestation period based on their adult value, as described in claim 1, is characterized in that: The bidding module assesses the value of the livestock to be sold based on data from the adult livestock model, formulates the assessment results, establishes bidding rules, publishes bidding information, accepts bidding requests from bidders, and records the bidding process and results. At the same time, this module connects with the Internet auction platform to realize online bidding. It also includes a bid confirmation module: after the bidding ends, the successful bidder and the unsuccessful bidder are determined according to the bidding rules and algorithm, and a bid-winning notification is sent to the successful bidder.

4. A method for competitive bidding of live animals raised during the gestation period based on their adult value, as described in any one of claims 1-3, characterized in that... Includes the following steps: S1. Data Collection: The data collection module automatically collects data such as aquaculture environment data, physiological data of aquaculture animals, and aquaculture operation records. The frequency and cycle of data collection can be set according to actual needs. S2. Data Processing: The collected data is cleaned, organized, and transformed. The processed data is used to build a livestock breeding period model for subsequent analysis and evaluation. The data processing process includes operations such as removing duplicate and abnormal data and filling in missing data. At the same time, an adult livestock model is built using the adult livestock data in the database. S3. Adult Value Assessment: Based on information from livestock breeding period models and adult livestock models, the adult value of each livestock is assessed. The assessment results can provide a reference for bidding. S4. Formulate bidding rules: Based on the evaluation results, formulate bidding rules, including the starting price, increment, and bidding time; S5. Publish bidding information: Publish bidding information to the bidding module for bidders to view and participate in the bidding. The bidding information includes detailed information such as the breed and quantity of livestock, the estimated value of adult livestock, and the bidding rules. S6. Customer participation in bidding: Customers can bid within a specified time using the customer query module based on their own needs and budget. The system records the bidding process and results, including information such as each customer's bid and time. S7. Confirmation of Winning Bid: After the bidding ends, the winning bidder and the unsuccessful bidders are determined according to the bidding rules and algorithm. The winning bidder's bid should be higher than or equal to the starting price and be the highest bid. The system sends a notification of winning the bid to the winning bidder and announces the bidding results. S8. Subsequent breeding management: After winning the bid, the breeding personnel shall carry out subsequent breeding management in accordance with the pre-agreed rules, including feed delivery, medication, vaccination, etc. The system shall record the breeding management data so that the livestock can be evaluated and verified when they reach adulthood and are ready for slaughter.

5. The method for competitive bidding of live animals raised during the gestation period based on their adult value, as described in claim 4, is characterized in that: The subsequent aquaculture management also includes the following steps: Adult value verification: During the breeding process, the adult value of the live animals is verified regularly, such as by measuring the actual weight and appearance score. If there is a large difference between the actual adult value and the predicted value, the prediction model can be adjusted and optimized. Data Analysis and Optimization: Based on the data in the aquaculture database, data mining and analysis techniques are used to understand the problems and improvement directions in the aquaculture process, optimize aquaculture techniques and processes, and at the same time, optimize and adjust the adult value assessment module to improve the assessment accuracy. System maintenance and upgrades: Regularly maintain and upgrade the system to ensure its stability and security. At the same time, new functional modules can be added to improve the system's intelligence and automation level.

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