Big data based low-cost laying hen breeding method

A big data, low-cost technology, applied in the field of big data breeding, can solve the problems of unstable egg production and return rate, impreciseness, and large human interference factors, so as to reduce the cost of breeding, reduce the amount of exercise, and reduce the amount of breeding cost effect

Active Publication Date: 2019-09-13
JIANGSU VOCATION & TECHNICAL COLLEGE OF FINANCE & ECONOMICS
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  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In the process of raising laying hens, it generally takes 30-50 days for brooding, 120-140 days for breeding chickens, and the laying period is about 360 days a year, a total of about 500 days. Usually, in order to increase egg production and return rate, brooding And when raising chickens, make the laying hens vigorously fatten to provide nutrient reserves for later egg production, and limit the amount of feed fed during the laying period to increase the egg production rate, but the amount of feed limited during the laying period is usually based on each According to the experience of the farm personnel, feeding feed and water has a lot of human interference factors, and it is not accurate to each feeding day during the laying period. It is only to determine the feeding amount, egg production and return rate in which period of time. Unstable, even maintained at a low level all year round, therefore, how to feed laying hens during the laying period to increase egg production and return rate, and achieve low-cost farming is worth considering for those skilled in the art

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Embodiment Construction

[0029] The present invention will be described in further detail below in conjunction with the technical solution, so that those skilled in the art can implement it with reference to the description.

[0030] It should be noted that the experimental methods described in the following embodiments, unless otherwise specified, are conventional methods, and the reagents and materials, unless otherwise specified, can be obtained from commercial sources.

[0031] The present invention provides a method for raising laying hens at low cost based on big data, comprising the following steps: Step 1, recording the breed of the batch of laying hens currently cultured; the breed of laying hens can be white-shell laying hens. 288, Jingbai 904, Roman white, which can be Roman brown, Isa brown, and Hessex brown of brown-shell hens, can be Xingza 444 of light brown shell hens, Elisa pink-shell hens, Tianfu powder Shell chicken etc.

[0032] Data collection: During the egg-laying period, the t...

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Abstract

The invention discloses a big data based low-cost laying hen breeding method. The method comprises steps as follows: each cell of hen coop is taken as a unit in the egg producing period, and daily total egg yield, daily total water intake and daily total feed intake are acquired; the temperature and the humidity are controlled, the size of each hen coop, the number of laying hens and the average age in days are recorded; after the end of the egg production period, the total egg yield and the return rate are counted; an experience sample is selected, the size of each hen coop, the average age in days, the number of the laying hens, the temperature, the humidity, the egg yield and the return rate are taken as an input layer, the daily total water intake and the daily total feed intake are taken as an output layer, and a neural network is constructed; training samples are selected for training the neural network, and a neural network model is obtained; ideal egg yield and ideal return rate are counted; next batches of laying hens are bred, the size of each hen coop, the ideal egg yield, the ideal return rate, intraday temperature and humidity, the average age in days and the number ofthe laying hens are input into the neural network model, and the intraday total water intake and the daily total feed intake are obtained; the laying hens are fed. The method has the benefits that the feeding amount is reduced and low-cost breeding is realized.

Description

technical field [0001] The invention relates to the field of big data farming. More specifically, the present invention relates to a method for raising laying hens at low cost based on big data. Background technique [0002] In the process of raising laying hens, it generally takes 30-50 days for brooding, 120-140 days for breeding chickens, and the laying period is about 360 days a year, a total of about 500 days. Usually, in order to increase egg production and return rate, brooding And when raising chickens, make the laying hens vigorously fatten to provide nutrient reserves for later egg production, and limit the amount of feed fed during the laying period to increase the egg production rate, but the amount of feed limited during the laying period is usually based on each According to the experience of the farm personnel, feeding feed and water has a lot of human interference factors, and it is not accurate to each feeding day during the laying period. It is only to det...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A01K67/02
CPCA01K67/02
Inventor 涂刚傅伟蒋道霞
Owner JIANGSU VOCATION & TECHNICAL COLLEGE OF FINANCE & ECONOMICS
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