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Pig body size and weight estimation method based on deep learning

A technology of deep learning and body weight, applied in the field of deep learning, can solve problems such as easy to miss features, not as good as deep learning methods, etc., and achieve the effect of comprehensive feature extraction

Pending Publication Date: 2022-01-11
SOUTH CHINA AGRI UNIV
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Problems solved by technology

[0005] Publication number: CN111243005A, with a public date of 2020-06-05, livestock weight estimation method, device, equipment, and computer-readable storage medium. This invention utilizes the point cloud technology in the depth image to gradually lock from the scattered point cloud from a top-down perspective Go to the target livestock to construct a point cloud set of livestock, filter out the specific body size information and input it into the linear regression model to estimate the weight, but this method is easy to miss features, and the traditional linear regression model is not linear in dealing with noise data and coping variables. problem than deep learning methods

Method used

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  • Pig body size and weight estimation method based on deep learning
  • Pig body size and weight estimation method based on deep learning
  • Pig body size and weight estimation method based on deep learning

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Embodiment 1

[0037] A method for estimating body size and weight of pigs based on deep learning, comprising steps:

[0038] S1. Acquire the image of the pig;

[0039] S2. Use the key point detection algorithm to detect the key points of the pigs in the image, obtain the key point detection results and remove the incomplete images of the pigs in the picture according to the key point detection results, and keep the complete images of the pigs in the picture;

[0040] S3. Detect whether the pig is tilted in the picture, and correct the tilted picture of the pig to obtain a complete and non-tilted image of the pig in the picture;

[0041] S4. Input the image into the weight estimation model and calculate the body size data according to the key point detection results to obtain the weight and body size data of the pig;

[0042] figure 1 It is the flow chart of image screening and correction corresponding to steps S1 to S3. The pig image in step S1 is an ordinary plane image taken by a common...

Embodiment 2

[0048] A method for estimating body size and weight of pigs based on deep learning, comprising steps:

[0049] S1. Obtain the image of the pig;

[0050] S2. Use the instance segmentation algorithm to perform instance segmentation on the image, and mark the pixels belonging to pigs in the image. The instance segmentation algorithm is constructed based on the Mask RCNN instance segmentation network, and then use the key point detection algorithm to key the pigs in the image. Point detection, according to the key point detection results, remove the incomplete image of the pig in the screen, and keep the complete image of the pig in the screen;

[0051] The network structure diagram of the instance segmentation algorithm is as follows image 3 As shown, the instance segmentation process includes:

[0052] First, the image is sent to the ResNext101 feature extraction network in the Mask RCNN instance segmentation network to obtain the feature map;

[0053] Then set a fixed numbe...

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Abstract

The invention provides a pig body size and weight estimation method based on deep learning, and relates to the technical field of deep learning. According to the method, the convolutional neural network is used for predicting the weight of the pig, related features are obtained through learning of the convolutional neural network, feature engineering extraction does not need to be constructed, so that the extracted features are more comprehensive, and the convolutional neural network is superior to a linear model in noise data processing and data nonlinearity problems; and a pig picture is shot by a universal 2d color camera, the equipment price is low, and the cost is low when the technical scheme is implemented.

Description

technical field [0001] The invention relates to the technical field of deep learning, and more specifically, to a method for estimating pig body size and weight based on deep learning. Background technique [0002] The pig industry is one of the important components of my country's agricultural economy. my country is an important pork production and consumption country in the world. In 2020, the pork production will be 41.13 million tons, accounting for more than 50% of the global pork production. With the development of artificial intelligence technology, the animal husbandry industry has been promoted to scale, precision, and intelligence. Therefore, accurate measurement of individual pigs can increase the scale of animal husbandry, reduce labor costs and enhance production efficiency. [0003] The body size and weight of pigs are important indicators to determine the body condition of pigs. Changes in body weight and size provide a direct means of assessing pig health an...

Claims

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Application Information

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IPC IPC(8): G06V20/20G06V20/68G06V10/24G06V10/26G06V10/774G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/214G06F17/10G06V10/82G06V10/44G06V10/25G06V40/10G06N3/0464G06N3/044G06F18/285
Inventor 肖德琴刘俊彬刘又夫杨秋妹黄一桂杨文涛招胜秋卞智逸
Owner SOUTH CHINA AGRI UNIV
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