Please use this identifier to cite or link to this item: http://sutir.sut.ac.th:8080/jspui/handle/123456789/3813
Full metadata record
DC FieldValueLanguage
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
Appears in Collections:บทความ (Articles)

Files in This Item:
File Description SizeFormat 
v18n1p71.pdfFulltext406.11 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.