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A spatial decision support tool for oil palm plantation management


Citation

Loh, Kok Fook and Ponusamy, Ragu and Mansor, Shattri and Ismail, Jamil (2009) A spatial decision support tool for oil palm plantation management. Pertanika Journal of Science & Technology, 17 (1). pp. 21-32. ISSN 0128-7680; ESSN: 2231-8526

Abstract

Malaysia is in the process of modernizing its oil palm plantation management, by implementing geo-information technologies which include Remote Sensing (RS), Geographic Information System (GIS), and Spatial Decision Support System (DSS). Agencies with large oil palm plantations such as the Federal Land Development Authority (FELDA), Federal Land Consolidation and Rehabilitation Authority (FELCRA), Guthrie Sdn. Bhd., and Golden Hope Sdn. Bhd. have already incorporated GIS in their plantation management, with limited use of RS and DSS. In 2005, FELCRA, Universiti Putra Malaysia (UPM) and Espatial Resources Sdn. Bhd. (ESR) collaborated in a research project to explore the potentials of geo-informatics for oil palm plantation management. The research was conducted in FELCRA located in Seberang Perak Oil Palm Scheme. In that research, a tool integrating RS, GIS and Analytical Hierarchy Process (AHP) was developed to support decision making for replanting of the existing old palms. RS was used to extract productive stand per hectare; AHP was used to compute the criteria weights for the development of a suitable model; and GIS was used for spatial modelling so as to generate the decision support layer for replanting. This paper highlights the approach adopted in developing the tool with special emphasis on the AHP computation.


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Additional Metadata

Item Type: Article
Divisions: Institute of Advanced Technology
Publisher: Universiti Putra Malaysia Press
Keywords: Remote sensing; Geographic Information System; Analytical hierarchical process; Spatial modelling; Spatial decision support tool
Depositing User: Noor Syafini Zamani
Date Deposited: 20 Nov 2015 03:12
Last Modified: 20 Nov 2015 03:14
URI: http://psasir.upm.edu.my/id/eprint/40543
Statistic Details: View Download Statistic

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