Poultry respiratory tract real-time monitoring system based on artificial intelligence
A real-time monitoring and artificial intelligence technology, applied in the evaluation of respiratory organs, diagnostic recording/measurement, telemetry/remote control selection devices, etc., can solve problems such as unhealthy livestock breeds, low breeding output, and unenvironmental protection, and achieve objective and unified judgment. , Improve breeding efficiency, improve the effect of ventilation
Pending Publication Date: 2021-10-01
自牧机器人(青岛)有限公司
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Problems solved by technology
[0002] At present, the domestic breeding technology is relatively traditional and backward. In terms of the diagnosis of poultry respiratory diseases, they all rely on personal breeding experience, which is very subjective and has no scientific and data basis.
As a result, there is no uniform standard for everyone’s diagnosis, and there is no case-by-case treatment. Our conventional solution is to spray a large number of livestock species with medicines and vaccines. This breeding mode has caused unhealthy and environmentally friendly livestock species, as well as high breeding costs. Increase
Such a vicious circle makes the breeding efficiency low, the breeding output low, and the breeding profit low
Method used
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[0021] In order to facilitate the understanding of those skilled in the art, the present invention will be further described below in conjunction with the embodiments and accompanying drawings, and the contents mentioned in the embodiments are not intended to limit the present invention.
[0022] Such as figure 1 Shown, a kind of artificial intelligence-based poultry respiratory real-time monitoring method provided by the present invention, it comprises
[0023] Collect poultry respiratory data in the poultry farm, and group the collected data into training group, test group and detection group, and establish a poultry respiratory database;
[0024] Carry out data labeling, manually use the RHI index to label and classify the poultry respiratory symptoms by extracting the training group data in the poultry respiratory database, and divide them into snoring, coughing, wheezing and screaming;
[0025] Using deep learning algorithms, establish a predictive model and conduct trai...
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The invention relates to the technical field of poultry respiratory tract monitoring, in particular to a poultry respiratory tract real-time monitoring system based on artificial intelligence. A method comprises the following steps: acquiring poultry respiratory tract data in a poultry farm, grouping the acquired data into a training group, a test group and a detection group, and establishing a poultry respiratory tract database; performing data annotation, manually adopting an RHI index to extract training group data in a poultry respiratory tract database to perform data annotation on poultry respiratory tract symptoms, and classifying the poultry respiratory tract symptoms into snoring, cough, gasp and scream; establishing a prediction model by using a deep learning algorithm, and performing training and optimization by extracting test group data in a poultry respiratory tract database; training a prediction model by extracting detection group data in a poultry respiratory tract database; detecting field real-time data by using the prediction model, and performing real-time monitoring and comparison; and wirelessly transmitting the detected data to a service terminal.
Description
technical field [0001] The invention relates to the technical field of poultry respiratory monitoring, in particular to an artificial intelligence-based real-time monitoring system for poultry respiratory tract. Background technique [0002] At present, the domestic breeding technology is relatively traditional and backward. In terms of the diagnosis of poultry respiratory diseases, they all rely on personal breeding experience, which is very subjective and has no scientific and data basis. As a result, there is no uniform standard for everyone’s diagnosis, and there is no case-by-case treatment. Our conventional solution is to spray a large number of livestock species with medicines and vaccines. This breeding mode has caused unhealthy and environmentally friendly livestock species, as well as high breeding costs. Increase. Such a vicious circle makes the breeding efficiency low, the breeding output low, and the breeding profit low. Contents of the invention [0003] Th...
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IPC IPC(8): A61B5/08A61B5/00G10L25/66H04Q9/00
CPCA61B5/08A61B5/0823A61B5/72G10L25/66H04Q9/00A61B2503/40H04Q2209/40
Inventor 王欣智
Owner 自牧机器人(青岛)有限公司
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