A live pig breeding planning method and system

A planning system, planning technology, applied in the field of data analysis, can solve problems such as unreasonable

Inactive Publication Date: 2019-05-28
AGRI INFORMATION INST OF CAS
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Problems solved by technology

However, changes in pork prices are affected by many factors, such as macro factors (consumer price index, per capita disposable income, etc.) It is unreasonable to plan future pig farming

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  • A live pig breeding planning method and system
  • A live pig breeding planning method and system
  • A live pig breeding planning method and system

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Embodiment Construction

[0074] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0075] The purpose of the present invention is to provide a planning method and planning system for pig breeding, which combines cluster analysis, time series model, extreme learning machine and Bayesian network, and predicts the price of pork based on the intuitive causal dependence between variables The fluctuations belong to the probability distribution of each pork price fluctuation range. According to the probability distribution, the number and time of pi...

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Abstract

The invention discloses a live pig breeding planning method and system. According to the live pig breeding planning method and system provided by the invention, discretization classification processing is carried out on pork price fluctuation intervals and fluctuation intervals of all associated input factors through clustering analysis, and then discretization classification data are utilized totrain a Bayesian network model; then, the time sequence model is combined with the extreme learning machine, the prediction precision of input factors in the Bayesian network model is further improved, and finally, the probability distribution of pork price fluctuation belonging to each pork price fluctuation interval is predicted based on the visual causal dependency relationship between variables in the network. The pig breeding enterprises or farmers can plan piglet feeding quantity and time, manpower and material input and live pig slaughtering quantity and time in live pig breeding according to future price fluctuation probability distribution, waste of manpower and materials in the live pig breeding process is reduced, and the live pig breeding benefits are guaranteed.

Description

technical field [0001] The invention relates to the technical field of data analysis, in particular to a planning method and a planning system for pig breeding. Background technique [0002] Pork plays a dominant role in my country's meat production and consumption. The rise and fall of pork prices, especially the "roller coaster" of pork prices has a major impact on the stable development of the social economy. It not only has a great impact on the pork consumption of urban and rural residents, but also affects the enthusiasm of pig farmers. and pig farmers have a huge impact. [0003] Under traditional conditions, farming enterprises and pig farmers use the price comparison of pigs and grains (exit price of live pigs / wholesale corn price) as an early warning indicator of changes in pork market prices to adjust pig farming. However, changes in pork prices are affected by many factors, such as macro factors (consumer price index, per capita disposable income, etc.) It is ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06K9/62G06Q50/02
Inventor 李建政许世卫庄家煜李干琼张永恩
Owner AGRI INFORMATION INST OF CAS
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