Development of a mobile application for amphibian species recognition

8th International Symposium of the Digital Earth

地球科学;计算机科学

Parveen, B.^1 ; Chew, T.H.^1 ; Shamsir, M.S.^1 ; Ahmad, N.^2

Bioinformatics Research Group, Universiti Teknologi Malaysia, Johor, Malaysia^1

Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Malaysia^2

关键词: Amphibian species;    Android applications;    Android platforms;    Automated identification;    Biodiversity conservation;    Biodiversity datum;    Mobile applications;    Species identification;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/18/1/012091/pdf
DOI  :  10.1088/1755-1315/18/1/012091

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

The smartphones mobility and its pervasiveness are beginning to transform practices in biodiversity conservation. The integrated functionalities of a smartphone have created for the public and biodiversity specialists means to identify, gather and record biodiversity data while simultaneously creating knowledge portability in the digital forms of mobile guides. Smartphones enable beginners to recreate the delight of species identification usually reserved for specialist with years of experience. Currently, the advent of Android platform has enabled stakeholders in biodiversity to harness the ubiquity of this platform and create various types of mobile application or "apps" for use in biodiversity research and conservation. However, there is an apparent lack of application devoted to the identification in herpetofauna or amphibian science. Amphibians are a large class of animals with many different species still unidentified under this category. Here we describe the development of an app called Amphibian Recognition Android Application (ARAA) to identify frog amphibian species as well as an accompanying field guide. The app has the amphibian taxonomic key which assists the users in easy and rapid species identification, thus facilitating the process of identification and recording of species occurrences in conservation work. We will also present an overview of the application work flow and how it is designed to meet the needs a conservationist. As this application is still in its beta phase, further research is required to improve the application to include tools such automatic geolocation and geotagging, participative sensing via crowdsourcing and automated identification via image capture. We believe that the introduction of this app will create an impetus to the awareness of nature via species identification.