Fattening pig house design method based on big data pig behavior pattern analysis

A design method and big data technology, applied in the field of breeding, can solve problems such as seldom considering the influence of pig behavior on the fattening effect, unable to obtain the best fattening effect, and unable to design pig houses, etc.

Inactive Publication Date: 2015-04-29
CHINA AGRI UNIV
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Problems solved by technology

[0010] The technical problem to be solved by the present invention is: in the existing pig house design process, the influence of pig behavior on the fattening effect is rarely considered, so it is impossible to design a pig house that is more conducive to pig fattening, and it is impossible to obtain the best fattening effect question

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  • Fattening pig house design method based on big data pig behavior pattern analysis

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Embodiment Construction

[0035] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0036] A method for designing a fattening pig house based on big data pig behavior analysis of the present invention includes two major steps:

[0037] Step 1: Obtain the big data stream of pig behavior. The specific steps are as follows:

[0038] A1: Select several piglets with similar developmental levels, and wear RFID (English name: Radio Frequency Identification, Chinese name: Radio Frequency Identification) tags for identification for all piglets;

[0039] A2: Divide several piglets into X large groups, and divide the piglets in each large group into M groups; among the M groups, the number of piglets in each group is different; each large group The number of pigle...

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Abstract

The invention belongs to the field of breeding, and discloses a fattening pig house design method based on big data pig behavior pattern analysis. The fattening pig house design method comprises the following steps of firstly, obtaining a big data flow of pig behaviors through a plurality of groups of experiments, and analyzing the data flow to obtain the relationships between the marketing weight and the total walking distance as well as between the total walking distance and the stocking density; according to the optimal marketing weight, finding the corresponding walking distance, and then finding the stocking density corresponding to the total walking distance, namely the optimal stocking density. The fattening pig house design method has the advantages that by collecting the total walking distance of a pig through a camera and software, the total walking distance of the corresponding pig is obtained through the optimal marketing weight, then the stocking density corresponding to a pig house of the corresponding pig is found, and finally the optimal stocking density is found; the pig behavior is used as a considering factor in the pig house design, the guidance is provided for the reasonable design of the pig house, the pig house which is favorable for the living of the fattening pig is designed, and the fattening of the pig is favorably realized.

Description

technical field [0001] The invention relates to the field of breeding technology, in particular to a method for designing a fattening pig house based on big data pig behavior analysis. Background technique [0002] There are many factors that affect the effect of pig fattening. [0003] 1. Variety. Pigs of different breeds have great differences in fattening performance, such as lean pigs have better fattening effect than fat pigs. [0004] Two, nutrition. The level of nutrition has a great influence on pig fattening, among which energy substances and protein are the most important influencing factors. [0005] 3. Feeding methods. Pig feeding methods usually adopt two kinds of free feeding and restricted feeding. Pigs fed ad libitum gain weight faster and have fatter carcasses; pigs with restricted feed gain slower, have higher feed utilization efficiency, and have thinner carcass backfat. [0006] Fourth, the environment. Environmental factors mainly include group li...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50A01K1/02
Inventor 冀荣华李鑫郑立华高万林刘云玲张港红
Owner CHINA AGRI UNIV
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