Java sparrow bird sex detection through texture analysis and beak image color

Mulyono, Agus ORCID: https://orcid.org/0000-0002-2574-1791 (2022) Java sparrow bird sex detection through texture analysis and beak image color. Pakistan Journal of Zoology, 54 (6). pp. 2675-2679. ISSN 0030-9923

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Abstract

Java sparrow is a member of a monomorphic group. Males and females have a physical appearance that looks the same, especially the color of their fur. Limited information regarding the characteristics and behavior of male and female Java sparrows can cause problems regarding sex determination, causing delays in normal mating. Further impact on the crossbreeding efforts of Java sparrow. This study aims to determine the sex detection process of Java sparrow through color and texture analysis of Java sparrow beak image with classification method using ANFIS and determine the level of accuracy. In this study there are 3 stages, namely preprocessing, learning stages and testing stages. The results of the Java sparrow sex detection accuracy through texture and color analysis of beak images using the ANFIS method are 90%. This shows that texture and color can be used to detect the sex of Java sparrow.

Item Type:	Journal Article
Keywords:	Java sparrow; texture analysis; beak image; adaptive neuro fuzzy inference system
Subjects:	02 PHYSICAL SCIENCES > 0299 Other Physical Sciences > 029901 Biological Physics 02 PHYSICAL SCIENCES > 0299 Other Physical Sciences > 029903 Medical Physics
Divisions:	Faculty of Mathematics and Sciences > Department of Physics
Depositing User:	Agus Mulyono
Date Deposited:	31 Aug 2022 10:38

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