2024
DOI: 10.20527/jtiulm.v9i1.199
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Optimization of CNN + Mobilenetv3 for Insect Identification: Toward High Accuracy

Nihayah Afarini,
Djarot Hindarto

Abstract: Developments in the field of artificial intelligence and deep learning, particularly Convolutional Neural Networks (CNN) techniques, have expanded the research potential and applications in ecology, including efficient and accurate insect classification. However, there are challenges in achieving high levels of accuracy with similar computational efficiency. In response, the efficient MobileNetV3 architecture was investigated to improve the insect pest classification process. Through an analytical descriptive … Show more

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