KM adds an intelligent system for agricultural disease diagnosis and severity estimation

dc.contributor.guideDeisy C
dc.coverage.spatialKM adds an intelligent system for agricultural disease diagnosis and severity estimation
dc.creator.researcherMercelin Francis
dc.date.accessioned2023-02-07T11:37:32Z
dc.date.available2023-02-07T11:37:32Z
dc.date.awarded2021
dc.date.completed2021
dc.date.registered
dc.description.abstractAutomatic estimation of disease and its severity plays a vital role in disease management which increases the production yield from agricultural crops thereby increasing the economy of our country. Many decision support systems were developed based on Information and Communication Technology (ICT) and Artificial Intelligence (AI) to help with farming, for the existing farmers and the growing generation. When compared to traditional farming, usage of these systems, helps the experts as well as the farmers to analyze and monitor the crop effectively, with less effort, cost and time. newline
dc.description.note
dc.format.accompanyingmaterialDVD
dc.format.dimensions21cm
dc.format.extentxx,159p.
dc.identifier.urihttp://hdl.handle.net/10603/457125
dc.languageEnglish
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.relationP.144-158
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordAgriculte diease
dc.subject.keywordDiagnosis
dc.subject.keywordKM adds system
dc.titleKM adds an intelligent system for agricultural disease diagnosis and severity estimation
dc.title.alternative
dc.type.degreePh.D.

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