Poultry animal behavior recognition method based on deep convolutional neural network

Abstract

The invention discloses a poultry animal behavior recognition method based on a deep convolutional neural network. The method comprises the steps of (1) collecting all poultry animal behavior images to be monitored, (2) preprocessing the collected images, (3) designing a deep convolutional neural network structure with the combination of characteristics of the poultry animal behavior images to bemonitored, (4) taking the images obtained in step (2) as training data and training a poultry animal behavior recognition model by using the deep convolutional neural network structure in step (3), (5) carrying out precision testing on the trained poultry animal behavior recognition model in step (4), returning to step (3) if the test precision does not reach a standard, and carrying precision outtesting until an application standard is reached, and (6) deploying the recognition model to be applied to the process of poultry animal farming and ending the step. According to the method, the recognition efficiency and accuracy of poultry animal behaviors can be effectively improved, and the simplification of the management work of aquaculture is facilitated.

Description

technical field [0001] The invention relates to the technical field of poultry animal behavior recognition, in particular to a poultry animal behavior recognition method based on a deep convolutional neural network. Background technique [0002] In recent years, deep learning, especially deep convolutional neural networks, has been widely used in image processing and analysis tasks, including image registration, image classification, and image classification. Moreover, with the rapid development of human society and the gradual deepening of industrial automation, the realization of agricultural production management through computer-aided technology can not only reduce the resources required for human maintenance, but also improve the management level. [0003] In the process of modern aquaculture management, it is necessary to continuously monitor and detect the behavior of poultry animals to examine the indicators of poultry animal growth and mobility, such as running, upr...

AI Technical Summary

Problems solved by technology

However, the following difficulties exist in the behavior recognition of poultry animals, such as high similarity between poultry animals, serious occlusion between poultry animals, and difficulty in distinguishing

At present, the monitoring of poultry animal behavior is mainly realized through workers in the breeding industry, which requires workers not only to analyze a large amount of surveillance video image data, but also to have a certain degree of proficiency and professionalism

In addition, in the process of poultry animal behavior monitoring, on the one hand, the work efficiency of workers will affect the overall efficiency of monitoring and management work; on the other hand, it will also cause waste in terms of management costs and expenses

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