Automated identification of moth species

Dhillon, Sarinder Kaur and Leong, Y.M. and Elham, Y.K. and Lim, L.H.S. (2016) Automated identification of moth species. In: International Conference on Advances in Bio-Informatics and Environmental Engineering - ICABEE 2016., 18 - 19 August 2016, Rome, Italy.

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Abstract

In this paper, Digital Automated Identification System (DAISY) was used to identify species of local moths. 210 species of super family Bombycoidea from Moth of Borneo (Part 3) were trained in DAISY. The overall identification of Moths gave a fairly accurate retrieval, with F1= 0.81.

Item Type: Conference or Workshop Item (Paper)
Funders: UNSPECIFIED
Additional Information: MST
Uncontrolled Keywords: Species of local moths; Biodiversity; Bombycoidea; System (DAISY)
Subjects: Q Science > Q Science (General)
Q Science > QH Natural history > QH301 Biology
Divisions: Faculty of Science
Depositing User: Mr. Mohd Safri
Date Deposited: 07 Feb 2017 04:29
Last Modified: 03 Dec 2019 18:03
URI: http://eprints.um.edu.my/id/eprint/16799

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