Intelligent bird repelling method based on convolutional neural network

Abstract

The invention provides an intelligent bird repelling method based on a convolutional neural network and belongs to the technical field of artificial intelligence. According to the invention, the problem whether birds exist in orchards or not is judged by the convolutional neural network which is most popular in the field of artificial intelligence computer vision at current and the birds are repelled by a bird repelling device and according to a certain flow, so that the birds can be repelled intelligently.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to an intelligent bird-repelling method based on a convolutional neural network. Background technique [0002] With the development and transformation of production and lifestyle, and the advancement of artificial intelligence technology, many boring and repetitive lifestyles in life can be replaced by artificial intelligence. Among various deep neural network structures, convolutional neural network is the most widely used one, which was proposed by LeCun in 1989. Convolutional neural networks were successfully applied to image recognition of handwritten characters in the early days. In 2012, the deeper AlexNet network was successful. Since then, the convolutional neural network has flourished and has been widely used in various fields, and has achieved the best performance on many issues. On machine vision and many other problems, convolutional neural networks ha...

AI Technical Summary

Problems solved by technology

But fruit growers can't keep an eye on the orchard all the time, and doing this kind of boring work will waste a lot of time, which happens to be able to achieve the detection of birds through convolutional neural networks

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