In recent years, Cellular automata model and convolutional neural network have made a series of research achievements in the fields of image processing, image classification, image recognition, etc. With the development of digitization and precision in agriculture, the existing information technology can only identify the existing image data information, and cannot classify the image effectively in time, and the real-time update rate of the image is slow. In this article, the wasp in Washington state is used as an example. A cellular automata model is proposed, which can effectively predict the dynamics of harmful insects. Through deep learning of convolutional neural network, images can be processed and classified more clearly and efficiently, and model data can be continuously updated, bringing effective methods for agricultural development and helping local areas solve the problem of harmful insects.


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    Title :

    Image Processing Method Based on Cellular Automata Model and Convolutional Neural Network


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Liang, Jianying (editor) / Jia, Limin (editor) / Qin, Yong (editor) / Liu, Zhigang (editor) / Diao, Lijun (editor) / An, Min (editor) / Mo, Jinglan (author) / Wu, Yangyang (author)

    Conference:

    International Conference on Electrical and Information Technologies for Rail Transportation ; 2021 October 21, 2021 - October 23, 2021



    Publication date :

    2022-02-19


    Size :

    14 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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