Convolutional neural network model and software for classification of typical pests

Convolutional neural network model and software for classification of typical pests

A model of a convolutional neural network, a dataset for neural network training, and a software tool for the classification of typical insect pests have been developed, which allows recognizing the class of insect pests from an image. The structure of the neural network model was optimized to impro...

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Bibliographic Details
Date:2022
Main Authors: Bezliudnyi, Y.S., Shymkovysh, V.M., Doroshenko, A.Yu.
Format: Article
Language:English
Published: PROBLEMS IN PROGRAMMING 2022
Subjects:
image classification
convolutional neural networks
modular architecture
Python
Keras
UDC 004.93’1
Online Access:https://pp.isofts.kiev.ua/index.php/ojs1/article/view/478
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Journal Title:Problems in programming
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Problems in programming
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Summary:A model of a convolutional neural network, a dataset for neural network training, and a software tool for the classification of typical insect pests have been developed, which allows recognizing the class of insect pests from an image. The structure of the neural network model was optimized to improve the classification results. In addition, the user interface, authentication, and authorization, data personalization, the presence of user roles and the appropriate distribution of functionality by role, the ability to view statistics on classified insects in a certain period of time were developed. Functional testing of the developed software application on a heterogeneous set of images of insects of 20 different classes was performed.Prombles in programming 2021; 4: 95-102

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