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A spatial decision support tool for oil palm plantation management

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 L...

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Main Authors: Loh, Kok Fook, Ponusamy, Ragu, Mansor, Shattri, Ismail, Jamil
Format: Article
Language:English
Published: Universiti Putra Malaysia Press 2009
Online Access:http://psasir.upm.edu.my/id/eprint/40543/1/A%20Spatial%20Decision%20Support%20Tool%20for%20Oil%20Palm%20Plantation%20Management.pdf
http://psasir.upm.edu.my/id/eprint/40543/
http://www.pertanika.upm.edu.my/Pertanika%20PAPERS/JST%20Vol.%2017%20%281%29%20Jan.%202009/06%2036-2008-Loh%20Kok%20Fook.pdf
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spelling my.upm.eprints.405432015-11-20T03:14:05Z http://psasir.upm.edu.my/id/eprint/40543/ A spatial decision support tool for oil palm plantation management Loh, Kok Fook Ponusamy, Ragu Mansor, Shattri Ismail, Jamil 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. Universiti Putra Malaysia Press 2009-01 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/40543/1/A%20Spatial%20Decision%20Support%20Tool%20for%20Oil%20Palm%20Plantation%20Management.pdf 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 http://www.pertanika.upm.edu.my/Pertanika%20PAPERS/JST%20Vol.%2017%20%281%29%20Jan.%202009/06%2036-2008-Loh%20Kok%20Fook.pdf
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description 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.
format Article
author Loh, Kok Fook
Ponusamy, Ragu
Mansor, Shattri
Ismail, Jamil
spellingShingle Loh, Kok Fook
Ponusamy, Ragu
Mansor, Shattri
Ismail, Jamil
A spatial decision support tool for oil palm plantation management
author_facet Loh, Kok Fook
Ponusamy, Ragu
Mansor, Shattri
Ismail, Jamil
author_sort Loh, Kok Fook
title A spatial decision support tool for oil palm plantation management
title_short A spatial decision support tool for oil palm plantation management
title_full A spatial decision support tool for oil palm plantation management
title_fullStr A spatial decision support tool for oil palm plantation management
title_full_unstemmed A spatial decision support tool for oil palm plantation management
title_sort spatial decision support tool for oil palm plantation management
publisher Universiti Putra Malaysia Press
publishDate 2009
url http://psasir.upm.edu.my/id/eprint/40543/1/A%20Spatial%20Decision%20Support%20Tool%20for%20Oil%20Palm%20Plantation%20Management.pdf
http://psasir.upm.edu.my/id/eprint/40543/
http://www.pertanika.upm.edu.my/Pertanika%20PAPERS/JST%20Vol.%2017%20%281%29%20Jan.%202009/06%2036-2008-Loh%20Kok%20Fook.pdf
_version_ 1643832746259251200
score 13.211869

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