Method for monitoring livestock breeding living body weight based on internet of things

Abstract

The invention discloses a method for monitoring livestock breeding living body weight based on the internet of things. The method comprises: a camera and a sensor collecting data, when data collectionis completed, transmitting the data to a single board computer, the single board computer integrating the data, and transmitting the integrated data to a C / S terminal of a local terminal to perform next-step processing; on the local terminal C / S, firstly performing living body identification on acquired RGB images, combined with depth point cloud data of a depth camera, deducing a 3D point cloudimage, meanwhile uploading RGB and 3D point cloud images, and individual information of living bodies and environment variable collected by the sensor to a cloud server; the cloud server cleaning anddenoising the 3D point cloud images according to the uploaded individual information and environment variable, after the 3D point cloud images reach a standard, restoring volume to obtain living bodyvolume, and calculating mass; returning an obtained living body mass result to the C / S terminal, if objection for error of mass exists, correcting errors by hand, after error correction, recording anduploading to the cloud server.

Description

technical field [0001] The present invention relates to the field of agricultural internet of things, in particular to a method for monitoring live body weight in animal husbandry based on agricultural internet of things. Background technique [0002] In 2015, China's GDP was 67.67 trillion yuan, of which agriculture was 9 trillion yuan, and animal husbandry was more than 3 trillion yuan. In 2015, there were nearly 7,000 feed companies in China, 500 of which had an annual output value of more than 500 million yuan; nearly 2,700 designated pig slaughtering companies above designated size; more than 20,000 pig farms with an annual slaughter of more than 5,000 heads. The period from 2010 to 2016 is a period of rapid integration of the agriculture and animal husbandry industry. The number of feed companies has decreased from 11,000 to 6,000; the number of pig slaughtering companies has decreased from 40,000 to 17,000; the scale of pig breeding has increased from 30% to 60%; 2020...

AI Technical Summary

Problems solved by technology

However, there are indeed a series of problems in the agricultural and animal husbandry industry data: A. Data islands

The current breeding technology is mainly human-intervened floor scale weighing. This method can easily cause stress reactions in pigs. Pigs are prone to stress reactions such as anorexia, vomiting, and weight loss. Therefore, farms cannot carry out frequent weighing. Impossible for precision farming

[0004] At present, the following technologies are disclosed, but the weight data obtained by these methods are easily affected by the activities of pigs, resulting in inaccurate measurement, unstable results, and limited data, which is not conducive to big data monitoring

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