Kruekaew, Boonhatai

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Kruekaew, Boonhatai
Alternative Name
Kruekaew, B.
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Email
boonhatai.kr@kmitl.ac.th

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    Item type:Publication,
    WILDFIRE CLASSIFICATION WITH DEEP LEARNING MODEL
    (2026-07-01)
    Tankue, Puwanai
    ;
    Kruekaew, Boonhatai
    ;
    Kimpan, Warangkhana
    This research aims to develop models for wildfire classification from images. The objective is to provide decision-making support for wildfire control planning, prevention and management. Convolutional Neural Networks techniques are used to analyze a dataset consisting of three image groups: no fire images, fire images that are not wildfires, and wildfire images. The experimental results compared ResNet group, DenseNet group, MobileNet group, and EfficientNet group. The research findings indicate the best-performing model in this study is ResNet152V2, which achieved an accuracy of 92.75%. Furthermore, Precision, Recall, and F1-Score are within a satisfactory range. A web application has also been developed to facilitate users to detect and classify wildfire more conveniently.