Cover Image

Clustering analysis of Coleopteran stored product pest based on morphometric structure

The Coleopteran stored product pest contribute severe damage to stored product. Therefore, the identification of the insect pest is crucial step in the pest management program. However, the abundant of insect pest’s species may cause the difficulty in the identification process specially when using...

Full description

Saved in:
Bibliographic Details
Main Authors: Azis, Tun Mohd Firdaus, Sharif, Shamshuritawati
Format: Article
Published: IP Publishing LLC 2019
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://repo.uum.edu.my/26458/
http://doi.org/10.1063/1.5121110
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uum.repo.26458
record_format eprints
spelling my.uum.repo.264582019-09-26T01:09:10Z http://repo.uum.edu.my/26458/ Clustering analysis of Coleopteran stored product pest based on morphometric structure Azis, Tun Mohd Firdaus Sharif, Shamshuritawati QA75 Electronic computers. Computer science The Coleopteran stored product pest contribute severe damage to stored product. Therefore, the identification of the insect pest is crucial step in the pest management program. However, the abundant of insect pest’s species may cause the difficulty in the identification process specially when using morphological image and molecular techniques. In this paper, the identification of the insect pest species is obtained using statistical analysis which are K-means clustering and Hierarchical Agglomerative Cluster Analysis (HACA). Based on the morphometric analysis of four morphological structure of 38 Coleopteran stored product pest species image, 100 dataset is generated. As a results, from two different clustering techniques, K-Means Clustering and Hierarchical Agglomerative Cluster Analysis (HACA) produce 5 clusters and 11 clusters, respectively. From the clustering evaluation, it is show that the HACA is the best since it produce the higher average Silhouette index. IP Publishing LLC 2019 Article PeerReviewed Azis, Tun Mohd Firdaus and Sharif, Shamshuritawati (2019) Clustering analysis of Coleopteran stored product pest based on morphometric structure. AIP Conference Proceedings, 2138. 050005. ISSN 0094-243X http://doi.org/10.1063/1.5121110 doi:10.1063/1.5121110
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Azis, Tun Mohd Firdaus
Sharif, Shamshuritawati
Clustering analysis of Coleopteran stored product pest based on morphometric structure
description The Coleopteran stored product pest contribute severe damage to stored product. Therefore, the identification of the insect pest is crucial step in the pest management program. However, the abundant of insect pest’s species may cause the difficulty in the identification process specially when using morphological image and molecular techniques. In this paper, the identification of the insect pest species is obtained using statistical analysis which are K-means clustering and Hierarchical Agglomerative Cluster Analysis (HACA). Based on the morphometric analysis of four morphological structure of 38 Coleopteran stored product pest species image, 100 dataset is generated. As a results, from two different clustering techniques, K-Means Clustering and Hierarchical Agglomerative Cluster Analysis (HACA) produce 5 clusters and 11 clusters, respectively. From the clustering evaluation, it is show that the HACA is the best since it produce the higher average Silhouette index.
format Article
author Azis, Tun Mohd Firdaus
Sharif, Shamshuritawati
author_facet Azis, Tun Mohd Firdaus
Sharif, Shamshuritawati
author_sort Azis, Tun Mohd Firdaus
title Clustering analysis of Coleopteran stored product pest based on morphometric structure
title_short Clustering analysis of Coleopteran stored product pest based on morphometric structure
title_full Clustering analysis of Coleopteran stored product pest based on morphometric structure
title_fullStr Clustering analysis of Coleopteran stored product pest based on morphometric structure
title_full_unstemmed Clustering analysis of Coleopteran stored product pest based on morphometric structure
title_sort clustering analysis of coleopteran stored product pest based on morphometric structure
publisher IP Publishing LLC
publishDate 2019
url http://repo.uum.edu.my/26458/
http://doi.org/10.1063/1.5121110
_version_ 1646016558311407616
score 13.211869

Similar Items