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dc.contributor.authorNorasmanizan, Abdullah
dc.contributor.authorAyu Wazira, Azhari
dc.contributor.authorMahmad Nor, Jaafar, Assoc. Prof. Dr.
dc.contributor.authorMohd Sabri, Hussin
dc.contributor.authorSalwa, Mohd Zaini Makhtar
dc.date.accessioned2013-10-21T04:11:49Z
dc.date.available2013-10-21T04:11:49Z
dc.date.issued2012-06-18
dc.identifier.citationp. 718 - 727en_US
dc.identifier.isbn978-967-5760-11-2
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/29000
dc.descriptionThe 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012) jointly organized by Universiti Malaysia Perlis and Athlone Institute of Technology in collaboration with The Ministry of Higher Education (MOHE) Malaysia, Education Malaysia and Malaysia Postgraduates Student Association Ireland (MyPSI), 18th - 19th June 2012 at Putra World Trade Center (PWTC), Kuala Lumpur, Malaysia.en_US
dc.description.abstractThis paper observed the potential of satellite imagery in soil compaction study based on the spectral analysis. The aim of this study is to produce the potential of soil compaction map through the measuring compactness level for implementation of precision agriculture. It analyzes the correlation between soil compaction data and reflectance data of the satellite image. The correlation analyzed in identifying the possible areas of soil compaction using regression methods. Kriging method was used as an interpolation technique in the prediction map of soil compaction derived from variable theory and statistical model. The highest correlation through the polynomial method of Landsat TM (Band 5) is 90%.en_US
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Perlis (UniMAP)en_US
dc.relation.ispartofseriesProceedings of the The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012);
dc.subjectPrecision agricultureen_US
dc.subjectRemote sensingen_US
dc.subjectKrigingen_US
dc.subjectRegressionen_US
dc.subjectSoil compactionen_US
dc.titleThe potential of satellite images in soil compaction study for implementation of precision agricultureen_US
dc.typeWorking Paperen_US
dc.contributor.urlizan1510@yahoo.comen_US
dc.contributor.urlayuwazira@unimap.edu.myen_US
dc.contributor.urlmahmad@unimap.edu.myen_US
dc.contributor.urlmohdsabri@unimap.edu.myen_US
dc.contributor.urlsalwa@unimap.edu.myen_US


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