Authors - Quoc-Anh Nguyen, Thanh-Nghi Doan, Huu-Hoa Nguyen Abstract - Crop productivity has been and continues to be influenced by both beneficial and harmful insect species. The classification of these insects plays a critical role in identifying threats and implementing crop protection measures. This paper presents a multimodal insect dataset for multimodal classification, utilizing both images and supplementary textual descriptions. The dataset is enriched to provide comprehensive information about various insect species. The study illustrates an integrated approach for feature extraction, similarity analysis, and insect classification. Furthermore, the research also introduces a model interpretation mechanism for the deep learning-based feature extraction process.
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