Home   >   CSC-OpenAccess Library   >    Manuscript Information
Comparison of Interpolation Methods in Prediction the Pattern of Basal Stem Rot Diesease in Palm Oil Plantation
Somayeh Kheirandish , Mahsa liaghat , Tengku Mohd Azahar, Adel Gohari
Pages - 12 - 16     |    Revised - 15-03-2012     |    Published - 16-04-2012
Volume - 2   Issue - 1    |    Publication Date - April 2012  Table of Contents
MORE INFORMATION
KEYWORDS
Inverse Distance Weighted, Kriging, Palm Oil
ABSTRACT
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. .
CITED BY (4)  
1 Ahmad, U., Ahmad, S. R., & Luqman, M. A Study Of Polio Disease In Pakistan Using Gis Approach.
2 Verma, S., & Gupta, R. D. (2014). Spatial and Temporal Variation of Japanese Encephalitis Disease and Detection of Disease Hotspots: A Case Study of Gorakhpur District, Uttar Pradesh, India. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, 1, 1-7.
3 Bhunia, G. S., Kesari, S., Chatterjee, N., Kumar, V., & Das, P. (2013). Spatial and temporal variation and hotspot detection of kala-azar disease in Vaishali district (Bihar), India. BMC infectious diseases, 13(1), 64.
4 Verma, S. Shipra Verma and RD Gupta.
1 Google Scholar 
2 CiteSeerX 
3 refSeek 
4 Scribd 
5 SlideShare 
6 PdfSR 
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).
Chang, Kang-tsung Introduction to geographic Information Systems (5th ed.) New York, Thomas D.Timp. (2010), pp. 327-340
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.
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.
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,
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),
Miss Somayeh Kheirandish
University Technology Malaysia - Malaysia
Somayehkheirandish@gmail.com
Miss Mahsa liaghat
University Technology Malaysia - Malaysia
Mr. Tengku Mohd Azahar
- Malaysia
Mr. Adel Gohari
University Technology Malaysia - Malaysia


CREATE AUTHOR ACCOUNT
 
LAUNCH YOUR SPECIAL ISSUE
View all special issues >>
 
PUBLICATION VIDEOS