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...

Повний опис

Збережено в:
Бібліографічні деталі
Дата:2022
Автори: Bezliudnyi, Y.S., Shymkovysh, V.M., Doroshenko, A.Yu.
Формат: Стаття
Мова:English
Опубліковано: PROBLEMS IN PROGRAMMING 2022
Теми:
image classification
convolutional neural networks
modular architecture
Python
Keras
UDC 004.93’1
Онлайн доступ:https://pp.isofts.kiev.ua/index.php/ojs1/article/view/478
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Назва журналу:Problems in programming
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Problems in programming
Опис
Резюме: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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