Advances in automatic insect classification

Entomology has been deeply rooted in various cultures since prehistoric times for the purpose of agriculture. Nowadays, many scientists are interested in the field of biodiversity in order to maintain the diversity of species within our ecosystem. Out of 1.3 million known species on this earth, ins...

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Main Authors: Hassan, Siti Noorul Asiah, Abdul Rahman, Nur Nadiah Syakira, Htike@Muhammad Yusof, Zaw Zaw, Shoon , Lei Win
Format: Article
Language:English
Published: Wireilla Scientific Publications, Australia 2014
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Online Access:http://irep.iium.edu.my/38595/1/3214elelij04.pdf
http://irep.iium.edu.my/38595/
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spelling my.iium.irep.38595 http://irep.iium.edu.my/38595/ Advances in automatic insect classification Hassan, Siti Noorul Asiah Abdul Rahman, Nur Nadiah Syakira Htike@Muhammad Yusof, Zaw Zaw Shoon , Lei Win Q Science (General) Entomology has been deeply rooted in various cultures since prehistoric times for the purpose of agriculture. Nowadays, many scientists are interested in the field of biodiversity in order to maintain the diversity of species within our ecosystem. Out of 1.3 million known species on this earth, insects account for more than two thirds of these known species. Since 400 million years ago, there have been various kinds of interactions between humans and insects. There have been several attempts to create a method to perform insect identification accurately. Great knowledge and experience on entomology are required for accurate insect identification. Automation of insect identification is required because there is a shortage of skilled entomologists. This paper provides a review of the past literature in vision-based insect recognition and classifications. Over the past decades, automatic insect recognition and classification has been given extra attention especially in term of crop pest and disease control. This paper details advances in insect recognition, discussing representative works from different types of method and classifiers algorithm. Among the method used in the previous research includes color histogram, edge detection and feature extraction (SIFT vector). We provides discussion on the state-of-the-art and provides perspective on future research direction in insect recognition and classification problem. Wireilla Scientific Publications, Australia 2014-05 Article PeerReviewed application/pdf en http://irep.iium.edu.my/38595/1/3214elelij04.pdf Hassan, Siti Noorul Asiah and Abdul Rahman, Nur Nadiah Syakira and Htike@Muhammad Yusof, Zaw Zaw and Shoon , Lei Win (2014) Advances in automatic insect classification. Electrical and Electronics Engineering: An International Journal (EEELIJ), 3 (2). pp. 51-63. ISSN 2200-5846 http://wireilla.com/engg/eeeij/current.html 10.14810/elelij.2014.3204
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic Q Science (General)
spellingShingle Q Science (General)
Hassan, Siti Noorul Asiah
Abdul Rahman, Nur Nadiah Syakira
Htike@Muhammad Yusof, Zaw Zaw
Shoon , Lei Win
Advances in automatic insect classification
description Entomology has been deeply rooted in various cultures since prehistoric times for the purpose of agriculture. Nowadays, many scientists are interested in the field of biodiversity in order to maintain the diversity of species within our ecosystem. Out of 1.3 million known species on this earth, insects account for more than two thirds of these known species. Since 400 million years ago, there have been various kinds of interactions between humans and insects. There have been several attempts to create a method to perform insect identification accurately. Great knowledge and experience on entomology are required for accurate insect identification. Automation of insect identification is required because there is a shortage of skilled entomologists. This paper provides a review of the past literature in vision-based insect recognition and classifications. Over the past decades, automatic insect recognition and classification has been given extra attention especially in term of crop pest and disease control. This paper details advances in insect recognition, discussing representative works from different types of method and classifiers algorithm. Among the method used in the previous research includes color histogram, edge detection and feature extraction (SIFT vector). We provides discussion on the state-of-the-art and provides perspective on future research direction in insect recognition and classification problem.
format Article
author Hassan, Siti Noorul Asiah
Abdul Rahman, Nur Nadiah Syakira
Htike@Muhammad Yusof, Zaw Zaw
Shoon , Lei Win
author_facet Hassan, Siti Noorul Asiah
Abdul Rahman, Nur Nadiah Syakira
Htike@Muhammad Yusof, Zaw Zaw
Shoon , Lei Win
author_sort Hassan, Siti Noorul Asiah
title Advances in automatic insect classification
title_short Advances in automatic insect classification
title_full Advances in automatic insect classification
title_fullStr Advances in automatic insect classification
title_full_unstemmed Advances in automatic insect classification
title_sort advances in automatic insect classification
publisher Wireilla Scientific Publications, Australia
publishDate 2014
url http://irep.iium.edu.my/38595/1/3214elelij04.pdf
http://irep.iium.edu.my/38595/
http://wireilla.com/engg/eeeij/current.html
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score 13.222552