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Identify Diseases Of Coconut Trees Using Images Processing And Deep Learning (Coconut_Doc)

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dc.contributor.author Koswatta Liyanage, Gayal Hirushan
dc.date.accessioned 2024-04-22T05:04:51Z
dc.date.available 2024-04-22T05:04:51Z
dc.date.issued 2023
dc.identifier.citation koswatta liyanage, gayal hirushan (2023) Identify Diseases Of Coconut Trees Using Images Processing And Deep Learning (Coconut_Doc). BSc. Dissertation, Informatics Institute of Technology en_US
dc.identifier.issn 2018166
dc.identifier.uri http://dlib.iit.ac.lk/xmlui/handle/123456789/2029
dc.description.abstract "Weligama Coconut Leaf Wilt disease (WCLWD) is a phytoplasma disease that affects coconut trees in Sri Lanka but is only found there, in the Southern Province, far from the country's main coconut production region. It might seriously harm Sri Lanka's coconut sector if it spreads to the main coconut growing region. To remove the illness and, more crucially, stop its spread to vital coconut-growing regions, the government launched a disease control campaign. Lack of a precise and dependable approach for detecting damaged palms is the program's main limitation. Although farmers are often not convinced of the strategy for resisting palm removal, visual symptoms are employed to identify the damaged palms for removal. The goal of this work is to create an automated way to identify this disease using techniques for image processing that may be used to determine whether or not a disease is affected.The use of a convolutional neural network to take data from leaves and the technique selection, together with the prediction of illness degree, are the main components of this study." en_US
dc.language.iso en en_US
dc.subject Disease of coconut tree en_US
dc.subject Weligama coconut wilt disease en_US
dc.subject Coconut leaf yellowing en_US
dc.title Identify Diseases Of Coconut Trees Using Images Processing And Deep Learning (Coconut_Doc) en_US
dc.type Thesis en_US


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