Integrating geographical information and mobile augmented reality technique for tracking tree species composition

Intan Syaherra Ramli, Azyan Yusra Kapi, Syazuani Mohd Shariff, Haslina Arshad, Saliza Ramly, Muhamad Izzat Rahim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Studies based on tracking tree species composition are very important for researchers to conserve the ecosystem. The information about tree species composition can be obtained through physical tagging with markers. However, this method is tedious and may harm the structure of trees. Besides, it is time consuming for researchers to track the information for future research. Thus, this paper will propose a mobile tracking application (ARTSC) which integrates the geographical information and mobile augmented reality technique for tracking the tree species composition. By using camera on the smart phone, the information about the species composition will be overlaid on top of the real image. Thus, this application can be one of the alternative methods for researchers to track information about the tree species.

Original languageEnglish
Title of host publication2013 IEEE Conference on e-Learning, e-Management and e-Services, IC3e 2013
PublisherIEEE Computer Society
Pages125-129
Number of pages5
ISBN (Print)9781479915743
DOIs
Publication statusPublished - 2013
Event2013 IEEE Conference on e-Learning, e-Management and e-Services, IC3e 2013 - Kuching, Sarawak
Duration: 2 Dec 20134 Dec 2013

Other

Other2013 IEEE Conference on e-Learning, e-Management and e-Services, IC3e 2013
CityKuching, Sarawak
Period2/12/134/12/13

Fingerprint

Augmented reality
Chemical analysis
Ecosystems
Cameras

Keywords

  • Geographical Information
  • Mobile Augmented Reality
  • Tracking Method
  • Tree Species Composition

ASJC Scopus subject areas

  • Management of Technology and Innovation

Cite this

Ramli, I. S., Kapi, A. Y., Shariff, S. M., Arshad, H., Ramly, S., & Rahim, M. I. (2013). Integrating geographical information and mobile augmented reality technique for tracking tree species composition. In 2013 IEEE Conference on e-Learning, e-Management and e-Services, IC3e 2013 (pp. 125-129). [6735978] IEEE Computer Society. https://doi.org/10.1109/IC3e.2013.6735978

Integrating geographical information and mobile augmented reality technique for tracking tree species composition. / Ramli, Intan Syaherra; Kapi, Azyan Yusra; Shariff, Syazuani Mohd; Arshad, Haslina; Ramly, Saliza; Rahim, Muhamad Izzat.

2013 IEEE Conference on e-Learning, e-Management and e-Services, IC3e 2013. IEEE Computer Society, 2013. p. 125-129 6735978.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ramli, IS, Kapi, AY, Shariff, SM, Arshad, H, Ramly, S & Rahim, MI 2013, Integrating geographical information and mobile augmented reality technique for tracking tree species composition. in 2013 IEEE Conference on e-Learning, e-Management and e-Services, IC3e 2013., 6735978, IEEE Computer Society, pp. 125-129, 2013 IEEE Conference on e-Learning, e-Management and e-Services, IC3e 2013, Kuching, Sarawak, 2/12/13. https://doi.org/10.1109/IC3e.2013.6735978
Ramli IS, Kapi AY, Shariff SM, Arshad H, Ramly S, Rahim MI. Integrating geographical information and mobile augmented reality technique for tracking tree species composition. In 2013 IEEE Conference on e-Learning, e-Management and e-Services, IC3e 2013. IEEE Computer Society. 2013. p. 125-129. 6735978 https://doi.org/10.1109/IC3e.2013.6735978
Ramli, Intan Syaherra ; Kapi, Azyan Yusra ; Shariff, Syazuani Mohd ; Arshad, Haslina ; Ramly, Saliza ; Rahim, Muhamad Izzat. / Integrating geographical information and mobile augmented reality technique for tracking tree species composition. 2013 IEEE Conference on e-Learning, e-Management and e-Services, IC3e 2013. IEEE Computer Society, 2013. pp. 125-129
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