A poultry health assessment method and system based on statistical characteristics of group exercise

A technology of exercise statistics and health assessment, applied in health index calculation, calculation, poultry industry and other directions, can solve the problems of inability to describe the health status of poultry, low accuracy of poultry health detection, etc., to improve the accuracy of poultry health detection, The effect of avoiding estimation bias

Active Publication Date: 2022-05-31
SOUTH CHINA AGRI UNIV
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the defects of low poultry health detection accuracy and inability to describe the health status of poultry described in the prior art, the present invention provides a poultry health assessment method based on statistical characteristics of group exercise, and a method based on statistical characteristics of group exercise. poultry health assessment system

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A poultry health assessment method and system based on statistical characteristics of group exercise
  • A poultry health assessment method and system based on statistical characteristics of group exercise
  • A poultry health assessment method and system based on statistical characteristics of group exercise

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

Embodiment 2

[0048]

[0052]

[0053]

[0055] α is a parameter for adjusting the exponential scaling ratio, so that the range of the rotational angle accumulation amount and the displacement accumulation amount are similar. Test

[0058] In the present embodiment, using age as a grouping condition can ensure effective group estimation.

[0061]

[0067]

[0070]

[0072] After the abnormal data is determined, the data at this moment is corrected. In this embodiment, the abnormal data is modified

[0074]

[0077]

[0078] In the formula, γ is an adjustment parameter, and the value range is [0,1]. In one embodiment, the adjustment parameter γ takes a value of 0.5.

Embodiment 3

[0086],

[0088] In one embodiment, the neighborhood parameter δ is initialized as, that is, 2 / Δt is rounded up.

[0090],

[0091] In the formula, ω is an adjustment parameter, and the value is a constant close to 0.

[0092] In one embodiment, the adjustment parameter ω is initially set to 0.0000000001.

[0094]

[0096] In one embodiment, the adjustment parameter σ is initially set to 3.

[0098],

[0101],;

[0103]

[0104]

[0105] In the formula, λ is an adjustment parameter, and the value range is [0, 1]; it represents an upward rounding function.

[0106] In one embodiment, the adjustment parameter λ is set to an initial value of 0.3.

[0107] In this embodiment, in order to conform to normal understanding, the score is non-linearly compressed and enlarged to [100,0].

[0110] Further, two methods can be used for group scoring of poultry:

[0112]

[0113].

[0115] 1) adopt the linear estimation method to calculate the current time j

[0116] 2) The current time j

[0117...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The present invention relates to the field of artificial intelligence technology, and proposes a poultry health assessment method and system based on the statistical characteristics of group exercise, which includes the following steps: acquiring poultry data from foot rings with three-axis sensors worn by poultry, and analyzing the acquired data Perform preprocessing to obtain poultry exercise data; perform abnormal data detection and correction on the poultry exercise data to obtain the corrected poultry exercise data; according to the corrected poultry exercise data, perform poultry exercise data of the same individual and group in different time periods Statistics and data distribution, and perform individual and group scores on poultry according to statistics and data distribution results of poultry exercise data; combine poultry exercise data, individual score results and group score results to evaluate poultry health status, and obtain poultry health assessment results. The invention can effectively improve the poultry health detection precision and accuracy rate, and can intuitively reflect the poultry health status at the same time.

Description

A method and system for poultry health assessment based on statistical characteristics of group exercise technical field The present invention relates to artificial intelligence technical field, more specifically, relate to a kind of statistical feature based on group motion Poultry health assessment methods and systems. Background technique [0002] With the continuous improvement of people's living standards, people's demand for various types of poultry is also increasing. in scale During the breeding of larger poultry (chickens, ducks and geese), the weaker individuals are affected by sudden accidents, such as snatch and other behaviors. Injuries, or the occurrence of individual fights and injuries are unavoidable, and they should be rescued in time or cleaned up in time to avoid further damage. Losses are very necessary. Therefore, for the reasonable monitoring and transformation of the amount of exercise, a health score for health assessment is obtained It is ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G16H50/30A01K45/00A01K35/00G16H50/20G16H50/70G06K9/62
CPCY02A40/70G16H50/30G16H50/20G16H50/70A01K35/00A01K45/00
Inventor 肖德琴刘啸虎黄一桂招胜秋卞智逸林探宇冯健昭
Owner SOUTH CHINA AGRI UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products