Pig ingestion behavior prediction method and device

A prediction method and feeding technology, applied in the direction of prediction, instrument, character and pattern recognition, etc., can solve problems affecting animal welfare, high cost, data loss, etc., to ensure reliability and accuracy, improve production efficiency, and The effect of feed intake

Pending Publication Date: 2020-06-12
CHINA AGRI UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The embodiment of the present invention provides a method and device for predicting pig feeding behavior, which is used to so

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  • Pig ingestion behavior prediction method and device
  • Pig ingestion behavior prediction method and device
  • Pig ingestion behavior prediction method and device

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Embodiment Construction

[0049] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0050] Such as figure 1 and Figure 4As shown, a method for predicting pig feeding behavior provided by the embodiments of the present invention includes:

[0051] Step 100: Obtain an image of the pig 9 inside the feeding device 10 .

[0052] Specifically, the images of the pigs 9 in the feeding device 10 can be taken by the camera 4, and ...

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Abstract

The invention relates to the technical field of livestock and poultry ingestion behavior prediction equipment, and discloses a pig ingestion behavior prediction method and device, and the method comprises the steps: obtaining an image of a pig in a ingestion device, inputting the image of the pig into a preset pig behavior discrimination model, and outputting a pig ingestion state result; whereinthe preset pig behavior discrimination model is obtained through training by taking pig image sample data as a first training set and taking a pig ingestion state corresponding to the pig image sampledata as a label. According to the method, the pig ingestion behavior is predicted in a quantitative mode, the reliability and the accuracy of a prediction result are ensured, the reliability and theaccuracy of the prediction result are ensured, the pig ingestion behavior is accurately predicted and recorded under the condition that animal welfare is not affected, the pig ingestion amount can bebetter controlled, and the production efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of equipment for predicting feeding behavior of livestock and poultry, in particular to a method and device for predicting feeding behavior of pigs. Background technique [0002] Predicting the feeding behavior of livestock and poultry is an important part of precision farming. Obtaining accurate feeding information can enable better control of the production process of livestock and poultry, improve production efficiency and production benefits, and can improve animal welfare and reduce the production process of livestock and poultry. potential negative impacts on the environment and human health. In addition, both excessive and insufficient feeding will cause harm to animal health. By predicting the feeding behavior of pigs, the feed-to-meat ratio and health information of pigs can be understood, and the feed ratio and feeding management of abnormal pigs can be monitored. Optimizing and improving feeding ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06Q10/04G06Q50/02
CPCG06Q10/04G06Q50/02G06V40/20G06F18/241G06F18/214
Inventor 滕光辉庄晏榕宗超张建龙周康曹孟冰
Owner CHINA AGRI UNIV
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