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dc.contributor.authorAtichart Harncharnchaien_US
dc.contributor.authorTeeraporn Saeheawen_US
dc.date.accessioned2018-09-05T03:34:03Z-
dc.date.available2018-09-05T03:34:03Z-
dc.date.issued2017-12-27en_US
dc.identifier.other2-s2.0-85045515136en_US
dc.identifier.other10.1145/3176653.3176658en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85045515136&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/57019-
dc.description.abstract© 2017 Association for Computing Machinery. This study aims to plan, analyse and develop a knowledge-based system (KBS) that provides problem-solving solution for field operation of the School Botanical Garden, a project under Her Royal Highness Princess Maha Chakri Sirindhorn, to educate and create awareness of plant genetics for juveniles. Existing system mainly provides information about plant information and operating guidelines but lacks knowledge about the domain-specific problem and its solution. The primary data were collected from experts using semi-structured interview to capture knowledge about problem-solving in the field operational tasks. With the CommonKADS methodology, the analysis revealed the system feasibility and problem-related tasks including plant label creation and plant area measurement, representing in a form of knowledge maps. The development of a prototype KBS was also proposed.en_US
dc.subjectComputer Scienceen_US
dc.titleKnowledge-based system with CommonKADS analysis for school botanical gardenen_US
dc.typeConference Proceedingen_US
article.title.sourcetitleACM International Conference Proceeding Seriesen_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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