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Sow delivery time prediction system based on late pregnancy posture conversion characteristics

A technology of late pregnancy and transformation characteristics, applied in image analysis, biometric recognition, image data processing, etc. Effect

Pending Publication Date: 2020-12-25
NANJING AGRICULTURAL UNIVERSITY
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  • Application Information

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Problems solved by technology

[0005] The purpose of the present invention is to fill in the gaps in the prior art, and proposes a method that combines the spatial features and temporal features of sow post-pregnancy posture transformation to realize the prediction of sow delivery time and overcome the time-consuming and labor-intensive work of traditional manual guards problem, avoiding the lack of contact stress response and high power consumption brought by sensor equipment to sows

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  • Sow delivery time prediction system based on late pregnancy posture conversion characteristics
  • Sow delivery time prediction system based on late pregnancy posture conversion characteristics
  • Sow delivery time prediction system based on late pregnancy posture conversion characteristics

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Embodiment Construction

[0060] The present invention will be further described below in conjunction with embodiment, but protection scope of the present invention is not limited to this:

[0061] The invention discloses a sow delivery time prediction system based on the post-pregnancy posture transformation characteristics. Based on computer vision technology and machine learning algorithms, the posture transformation characteristics of sows in the late-pregnancy environment are deeply excavated, and the sow posture space Combining distribution characteristics with time-series statistical features, using feature engineering time windowing method to expand feature space, fusing multiple high-variance and low-coupling features into the integrated learning model through embedded feature screening, and using weighted average method to predict delivery time .

[0062] combine figure 1 , the system structure includes: image acquisition module, network transmission module, storage module, central computing...

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Abstract

The invention discloses a sow delivery time prediction system based on late pregnancy posture conversion characteristics, which is characterized by comprising an image acquisition module, a network transmission module, a video storage unit, a local server, a central computing module and a mobile terminal receiving module, the image acquisition module acquires a sow video in a post-pregnancy deadline column environment, and the acquired data is stored in the video storage unit; and the screenshot image frames of the local server are uploaded to the central computing module through the network transmission module. According to the invention, end-to-end automatic operation and control are realized from the image acquisition module to the final mobile terminal receiving module, the sow management efficiency can be greatly improved, and the death risk of piglets is reduced.

Description

technical field [0001] This patent involves technical fields such as computer vision, time series analysis, and precision breeding of livestock and poultry. Specifically, it is a method to automatically detect the transformation frequency of sow posture in the late pregnancy through deep convolutional neural network algorithm, the ratio of main posture expression in nesting behavior, statistical characteristics of posture changes, trend characteristics, time series difference characteristics, etc. characteristics, and perform 4 types of time window statistics on various features, and integrate spatial distribution and time series statistical features into modeling to realize sow delivery time prediction. Background technique [0002] The mortality rate of newborn piglets is as high as 25-33%, which is one of the outstanding problems causing the loss of pig breeding production. Studies have shown that if the time of sow delivery can be accurately predicted, proper manual supe...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06N3/04G06N3/08G06T5/00G06T5/20G06T5/40G06T7/136G06T7/90
CPCG06N3/08G06T5/40G06T7/136G06T7/90G06T5/20G06V40/20G06V40/10G06V20/40G06N3/045G06T5/73
Inventor 沈明霞太猛刘龙申姚文赵茹茜陈佳丁奇安
Owner NANJING AGRICULTURAL UNIVERSITY
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