dc.contributor.author |
Fernando, Kaveesha Praveen |
|
dc.date.accessioned |
2024-04-02T07:37:55Z |
|
dc.date.available |
2024-04-02T07:37:55Z |
|
dc.date.issued |
2023 |
|
dc.identifier.citation |
Fernando, Kaveesha Praveen (2023) Orchid Plant Disease Detection Using Deeplearning. BSc. Dissertation, Informatics Institute of Technology |
en_US |
dc.identifier.issn |
2019546 |
|
dc.identifier.uri |
http://dlib.iit.ac.lk/xmlui/handle/123456789/1967 |
|
dc.description.abstract |
The Orchid Plant Disease Identification System is an advanced solution that combines disease detection, stage identification, and fertilizer recommendation for orchid plants. Machine learning algorithms, the system enables growers to accurately identify diseases in orchids, determine the stage of the disease, and receive personalized fertilizer recommendations. |
en_US |
dc.language.iso |
en |
en_US |
dc.subject |
Orchid Plant Disease |
en_US |
dc.title |
Orchid Plant Disease Detection Using Deeplearning |
en_US |
dc.type |
Thesis |
en_US |