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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  • Application Information

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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 t

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

Examples

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Example Embodiment

[0036] Example 1

[0037] A deep-study-based porcum body weight estimation method, including steps:

[0038] S1, get the pig image;

[0039] S2, using a key point detection algorithm to perform critical point detection, obtain a critical point detection result and detect the results of the pig in the picture in the picture, and retain the full image of the pig in the picture;

[0040] S3, detecting that the pig is tilted in the picture, correcting the screen of the pig, and obtains an image that is complete and not inclined in the picture in the picture;

[0041] S4, input the image input body weight estimate and calculate the size of the size according to the critical point detection results to obtain the body weight and size of the pig;

[0042] figure 1 The image screening of the image corresponding to step S1 to S3, step S1, the pig only is an ordinary planar image taken by a normal 2D color camera, and the 2D color camera of this embodiment is only schematically shown. figur...

Example Embodiment

[0047] Example 2

[0048] A deep-study-based porcum body weight estimation method, including steps:

[0049] S1, get the pig image;

[0050] S2, using an instance division algorithm to instance segmentation, a pixel mark that belongs to a pig only, the instance division algorithm is based on the Mask RCNN instance division network, and then uses a key point detection algorithm to only critical the pigs in the image. Point detection

[0051] The instance division algorithm network structure image 3 As shown, the instance segmentation process includes:

[0052] First, the image is sent into the RESNext101 feature extraction network in the Mask RCNN instance split network;

[0053] Then set a fixed number of interested points for each pixel location of the feature, and the region of interest is sent into the Mask RCNN instance split network. The network is proposed to obtain the foreground and the background, and the coordinates return, thus Get high quality of interest;

[0054] The...

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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
CPCG06N3/08G06N3/045G06F18/214G06F17/10G06V10/82G06V10/44G06V10/25G06V40/10G06F18/285
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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