Profiling and Geo-Tagging of Rubber Tree Plantation through Geographic Information System - Open Access Library Journal

OALibJ > Vol.6 No.7, July 2019

Profiling and Geo-Tagging of Rubber Tree Plantation through Geographic Information System ()

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DOI: 10.4236/oalib.1105460 339 Downloads 2,538 Views Citations

Author(s)

Eduardson E. Talosig, Cerenio Adriatico, Fil Ryan P. Yap

Affiliation(s)

College of Business and Management, Southern Leyte State University, San Juan, Philippines.

ABSTRACT

The application of geographic information system technology is now widely accepted in the agriculture industry. This study demonstrated the applicability of the technology tool in managing a rubber tree demonstration farm of the Southern Leyte State University-San Juan. Using a global positioning system (GPS) instrument, each tree was measured using waypoint in identifying the unique character of the tree. The data collected and stored in the GPS were converted into attributes that were stored in a table and linked to the feature by a unique identifier. In developing a database structure, relationships were established correctly between spatial feature classes and non-spatial feature classes of the rubber tree demonstration farm. The actual results paved for the establishment and assignment of unique rubber tree identification number determined the exact quantity of trees ready for tapping and identified available land area considered potential for the expansion of the demonstration farm. Implementing the rubber tree management system using the geographic information system (GIS) can be a potent tool for managing and monitoring risk factors for all rubber trees. The data generated in this study bring some immediate benefits to the rubber tree plantation project and also demonstrate the value of integrating the GIS technology in managing other physical resources and assets owned by the university.

KEYWORDS

Unique Rubber Tree Identification Number, Tapping, Monitoring Risk Factors

Share and Cite:

Talosig, E. , Adriatico, C. and Yap, F. (2019) Profiling and Geo-Tagging of Rubber Tree Plantation through Geographic Information System. Open Access Library Journal, 6, 1-14. doi: 10.4236/oalib.1105460.

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