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| Comparison of Interpolation Methods in Prediction the Pattern of Basal Stem Rot Diesease in Palm Oil Plantation
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Full
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 PDF(486.4KB) |
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Source |
Geoinformatica - An International Journal (GIIJ) |
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Table of Contents |
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Download
Complete Issue PDF(2.3MB) |
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Volume: 2 Issue: 1 |
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Pages: NULL |
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Publication
Date: April 2012 |
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ISSN
(Online): 2180-1231 |
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Pages |
12 - 16 |
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Published
Date |
16-04-2012 |
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Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
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ADDITIONAL
INFORMATION |
| Keywords Abstract References Cited by Related Articles Collaborative
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KEYWORDS: Inverse Distance Weighted, Kriging, Palm Oil |
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| Basal Stem Rot is a diseases that caused by Ganoderma Boinense that is the most serious disease for oil palm trees in Malaysia. The analysis of plant disease has been carried extensively with the advancement in computer technology. Particularly, in terms of spatial and temporal, it is very complicated to be processed. Furthermore, the application of GIS in plant disease analysis is becoming more popular, precise and advance. In previous studies, Kriging has been used to predict the pattern of BSR disease. In this study, two commonly used interpolation methods for GIS, Kriging and Inverse Distance Weighting (IDW), are used to interpolate and predict the pattern of Basal Stem Rot disease. Since the IDW method is an exact method and is more accurate one, it was expected to see more accurate results. However, the accuracy results of both methods are the same. Based on the characteristic of both methods and according to advantages and disadvantages, the Inverse Distance Weighted is recommended in this study but, for more informative data, Ordinary Kriging is suggested to be the preferable method to be used as an alternative method.
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Adams Niall, Robardet Celin, sibes Arno 2009, Advances in Intelligent Data Analysis VII, Advanced in intelligent data analysis, Springer ISBN 3642039146, 9783642039140,( pp. 90- 101).
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Chang, Kang-tsung Introduction to geographic Information Systems (5th ed.) New York, Thomas D.Timp. (2010), pp. 327-340
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David w.S Wono,Jay Lee (2005), Statistical Analysis of Geographic Information with Arcview GIS and ArcGIS, Canada, John wiley&Sons,Inc., Hobken, New Jersey.
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Markom, M. A,Md Shakaff . A. Y,Adom . A. Y, M.N. Ahmad,. Abdullah, A.H The Feasibility Study of Utilizing Electronic Nose and ANN for Plant Malaise Detection, Malaysian Universities Conferences on Engineering and Technolog , 2008,
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J.E. Bourne. “Synthetic structure of industrial plastics,” in Plastics, 2nd ed., vol. 3. J. Peters, Ed. New York: McGraw-Hill, 1964, pp.15-67.
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Tengku Mohd Azhar Bin Tuan DirSpatial and Hotspots Analysis of Basal Stem Rot Disease in Oil Palm Plantations: An analysis on peat soil , PN-191 International Journal of Engineering & Technology IJET-IJENS , (2009),
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| Somayeh Kheirandish : Colleagues
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| Mahsa liaghat : Colleagues
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| Tengku Mohd Azahar : Colleagues
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| Adel Gohari : Colleagues
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