Vision based entomology: a survey

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:	AIRCC Publishing Corporation 2014
Subjects:	Q Science (General)
Online Access:	http://irep.iium.edu.my/39898/ http://irep.iium.edu.my/39898/ http://irep.iium.edu.my/39898/1/5114ijcses03.pdf

id	iium-39898
recordtype	eprints
spelling	iium-398982018-06-20T05:00:22Z http://irep.iium.edu.my/39898/ Vision based entomology: a survey 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. AIRCC Publishing Corporation 2014-02 Article PeerReviewed application/pdf en http://irep.iium.edu.my/39898/1/5114ijcses03.pdf Hassan, Siti Noorul Asiah and Abdul Rahman, Nur Nadiah Syakira and Htike@Muhammad Yusof, Zaw Zaw and Shoon , Lei Win (2014) Vision based entomology: a survey. International Journal of Computer science and engineering Survey (IJCSES), 5 (1). pp. 19-31. ISSN 0976-3252 http://airccse.org/journal/ijcses/current2014.html
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
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 Vision based entomology: a survey
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	Vision based entomology: a survey
title_short	Vision based entomology: a survey
title_full	Vision based entomology: a survey
title_fullStr	Vision based entomology: a survey
title_full_unstemmed	Vision based entomology: a survey
title_sort	vision based entomology: a survey
publisher	AIRCC Publishing Corporation
publishDate	2014
url	http://irep.iium.edu.my/39898/ http://irep.iium.edu.my/39898/ http://irep.iium.edu.my/39898/1/5114ijcses03.pdf
first_indexed	2023-09-18T20:57:17Z
last_indexed	2023-09-18T20:57:17Z
_version_	1777410388419149824

Vision based entomology: a survey

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