2022
DOI: 10.1109/access.2022.3163380
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Abstract: Insects are a class of the arthropod branch and the most crowded animal group in terms of species and taxonomy. Due to destruction and forest fires, some insect species could go extinct without being detected. Identifying new insects and having knowledge about insects in terms of biodiversity will contribute positively to the studies carried out, especially in entomology, agriculture, the pharmaceutical industry, medicine, robotics, and other branches. In this study, we produced a mobile-based decision support… Show more

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Cited by 2 publications
(1 citation statement)
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References 40 publications
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“…Valan et al [8] classified four datasets of insects (Diptera, Coleoptera and Plecoptera) by using VGG19 and obtained at least 90% accuracy. Ozdemir et al [9] developed mobile apps with the deep learning algorithms VGG16 and InceptionV3 for insect order classification and achieved at least 80% average accuracy. However, most of these previous studies of DL models on insect classification were not designed to assess the capability of DL in classifying different taxonomic levels.…”
Section: Introductionmentioning
confidence: 99%
“…Valan et al [8] classified four datasets of insects (Diptera, Coleoptera and Plecoptera) by using VGG19 and obtained at least 90% accuracy. Ozdemir et al [9] developed mobile apps with the deep learning algorithms VGG16 and InceptionV3 for insect order classification and achieved at least 80% average accuracy. However, most of these previous studies of DL models on insect classification were not designed to assess the capability of DL in classifying different taxonomic levels.…”
Section: Introductionmentioning
confidence: 99%