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dc.contributor.authorGunathilaka, KKDSR
dc.contributor.authorHettige, B
dc.date.accessioned2025-01-15T10:02:31Z
dc.date.available2025-01-15T10:02:31Z
dc.date.issued2024-09
dc.identifier.urihttp://ir.kdu.ac.lk/handle/345/8007
dc.language.isoenen_US
dc.subjectTeaen_US
dc.subjectBlister blighten_US
dc.subjectMachine learningen_US
dc.subjectReal-time environmental dataen_US
dc.subjectDisease managementen_US
dc.titleEarly Detection and Identification of Blister Blight Disease in Tea Plantations Using Deep Learning and Real-Time Environmental Dataen_US
dc.typeArticle Abstracten_US
dc.identifier.facultyFaculty of Computingen_US
dc.identifier.journal17th International Research Conference ( September 26–27, 2024 )en_US
dc.identifier.pgnos45en_US


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