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Please use this identifier to cite or link to this item: http://sutir.sut.ac.th:8080/jspui/handle/123456789/3813
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dc.contributor.authorKanchana Thongboonnak-
dc.contributor.authorSunya Sarapirome-
dc.date.accessioned2011-11-22T02:48:29Z-
dc.date.available2011-11-22T02:48:29Z-
dc.date.issued2011-
dc.identifier.citationSuranaree Journal of Science and Technology Vol.18 no.1; p:71-80en
dc.identifier.issn0858-849x-
dc.identifier.urihttp://sutir.sut.ac.th:8080/jspui/handle/123456789/3813-
dc.format.extent415854 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoenen
dc.publisherResearch Institute and Development. Suranaree University of Technologyen
dc.subjectArtificial Neural Network (ANN)en
dc.subjectAgricultural yield predictionen
dc.subjectGeographic Information System (GIS)en
dc.titleIntegration of artificial neural network and geographic information system for agricultural yield predictionen
dc.typeArticleen
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