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Citrus fruit disease identification application

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dc.contributor.author Perera, Oshadha
dc.date.accessioned 2024-04-26T08:03:03Z
dc.date.available 2024-04-26T08:03:03Z
dc.date.issued 2023
dc.identifier.citation Perera, Oshadha (2023) Citrus fruit disease identification application. BSc. Dissertation, Informatics Institute of Technology en_US
dc.identifier.issn 20191139
dc.identifier.uri http://dlib.iit.ac.lk/xmlui/handle/123456789/2071
dc.description.abstract "The Citrus Fruit Disease Identification System is a cutting-edge system that seamlessly combines disease diagnosis and fertilizer suggestion features created exclusively for Citrus plants. This cutting-edge system gives growers the ability to identify diseases affecting their citrus crops precisely and reliably while also giving them personalized and tailored fertilizer recommendations to maximize plant health and productivity. It does this by leveraging the power of sophisticated machine learning algorithms. The cutting-edge technology uses sophisticated deep learning algorithms to extensively analyse visual representations of citrus fruit trees with astounding accuracy and quickly identify common ailments. Additionally, this modern system provides crucial insights into customized fertilizers and treatment methods designed particularly to address the ailments discovered. Armed with this priceless information, growers can respond quickly and successfully to the problems at hand, assuring timely intervention and the deployment of appropriate treatments. " en_US
dc.language.iso en en_US
dc.subject Disease identification en_US
dc.subject Image processing en_US
dc.subject Android mobile application en_US
dc.title Citrus fruit disease identification application en_US
dc.type Thesis en_US


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