A Method for Predicting the Structure of Dairy Cows
A forecasting method and dairy cow technology, applied in the field of animal husbandry, can solve problems such as large deviations, and achieve the effects of avoiding waste, saving costs, and avoiding related losses
Active Publication Date: 2020-11-10
李有志
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Problems solved by technology
[0002] In the field of animal husbandry, there is no clear algorithm for traditional dairy cow stock structure prediction. It is only a rough and simple artificial estimation based on indicators such as the annual conception rate. All of them are parameterized and participate in related calculations to obtain the calculation method and formula of the herd structure within a specified time period, so the deviation is relatively large
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Embodiment 1
[0042] see Figure 1 to Figure 4 , the present invention provides a method for predicting the structure of dairy cows:
[0043] S1 establishes an initial database, including:
[0044] S101, classify the cattle according to the gestation status and the number of days of all the cattle in the pasture;
[0045] S102. Statistical statistics on the pasture cattle herd for at least 2 months; including cattle files and breeding registration data; and designate the data start date, calculate the relevant cattle herd structure according to the designated date, and use it as initial data to form an initial database; initial The data includes the initial value of the herd, the number of culling and the number of additions;
[0046] S2. Call the initial database of S1 to obtain the parameters of the herd: and distribute the obtained parameters to each herd classified by S1, and then assign the parameters to each herd from January to December;
[0047] S3. Use the calculation function t...
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The invention discloses a cow inventory structure prediction method and relates to the field of livestock breeding technology. According to the technical scheme, the cow inventory structure predictionmethod comprises the steps that S1, an initial database is established; S2, the initial database in S1 is called to acquire herd parameters, and the acquired parameters are allocated to all herds classified in S1; S3, for each herb, a calculation function is adopted to perform calculation according to the first month, and data in the future 12 months is acquired through calculation; and S4, the result obtained in S3 is corrected through actual data verification. The method has the advantages that through the calculation method, the number of cows at each stage in the future one year can be effectively estimated, therefore, a relevant decision basis can be provided for a cow farm, and waste is avoided; and for a dairy enterprise, the amount of milk capable of being purchased from all pastures in all months of the next year can be estimated in advance, relevant production and sales plans can be arranged, production is determined by sales, relevant loss is avoided for the enterprise, andcost is saved.
Description
technical field [0001] The invention relates to the field of animal husbandry, in particular to a method for predicting the structure of dairy cows. Background technique [0002] In the field of animal husbandry, there is no clear algorithm for traditional dairy cow stock structure prediction. It is only a rough and simple artificial estimation based on indicators such as the annual conception rate. They are all parameterized and involved in related calculations to obtain the calculation method and formula of the herd structure within a specified time period, so the deviation is relatively large. Contents of the invention [0003] In order to effectively estimate the stock structure of dairy cows, so that the pasture can make a production plan for the next year, and can track and compare the plan with the actual situation, and find abnormal production in time; the invention provides a method for predicting the stock structure of dairy cows. [0004] Its technical solution...
Claims
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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/02G06F16/2458
CPCG06F16/2462G06Q10/04G06Q10/06315G06Q50/02
Inventor 胡洪杰李有志张德敏张淑二刘亚琳韩雯刘志超
Owner 李有志