1. Suranaree University of Technology
  2. Institutes
  3. Institute of Science
  4. School of Mathematics
  5. วิทยานิพนธ์ (Thesis)
Please use this identifier to cite or link to this item: http://sutir.sut.ac.th:8080/jspui/handle/123456789/9699
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorJessada Tanthanuchen_US
dc.contributor.authorWuttichai Watchararaten_US
dc.date.accessioned2023-05-23T05:06:32Z-
dc.date.available2023-05-23T05:06:32Z-
dc.date.issued2022-
dc.identifier.urihttp://sutir.sut.ac.th:8080/jspui/handle/123456789/9699-
dc.language.isoenen_US
dc.publisherSchool of Mathematics Institute of Science Suranaree University of Technologyen_US
dc.subjectRice varieties classificationen_US
dc.subjectArtificial intelligenceen_US
dc.subjectObject detectionen_US
dc.titleClassification of rice varieties from milled rice grain images by object detection methoden_US
dc.title.alternativeการจำแนกพันธุ์ข้าวจากภาพของเมล็ดข้าวสารด้วยวิธีตรวจหาวัตถุen_US
dc.typeThesisen_US
dc.degree.nameMaster of Science-
dc.degree.levelMaster's Degree-
dc.degree.disciplineApplied Mathematics-
dc.degree.grantorSuranaree University of Technology-
Appears in Collections:วิทยานิพนธ์ (Thesis)

Files in This Item:
File Description SizeFormat 
Abstract.pdfAbstract996.52 kBAdobe PDFView/Open
Fulltext.pdfFulltext4.45 MBAdobe PDFView/Open
Show simple item record


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