dc.contributor.author |
Edippuliarachchi, Imesh |
|
dc.date.accessioned |
2024-04-02T06:02:25Z |
|
dc.date.available |
2024-04-02T06:02:25Z |
|
dc.date.issued |
2023 |
|
dc.identifier.citation |
Edippuliarachchi, Imesh (2023) Plant Disease Detection in Real World Scenarios Using Deep Learning. BSc. Dissertation, Informatics Institute of Technology |
en_US |
dc.identifier.issn |
20200517 |
|
dc.identifier.uri |
http://dlib.iit.ac.lk/xmlui/handle/123456789/1961 |
|
dc.description.abstract |
"As you all know There is a large percentage of people globally who are
work in the agricultural sector. The agricultural sector is one of the most
important sectors of our country’s economy as well. But as we all know
one of the worst things in the agriculture field is these plant diseases that
are destroying our farmers’ crops. Identifying this plant disease by just
looking at the changes is hard for humans.
Therefor that’s why the author chose this research project to make a Plant
Disease Detection Application in real world scenarios. This application
will allow the user to take a picture of a plant disease and within few
minutes it will output the Disease name and Details so that the user can
take necessary actions against the plant disease. Also, the author has
created his own plant disease database for this research project." |
en_US |
dc.language.iso |
en |
en_US |
dc.subject |
Plant diseases |
en_US |
dc.subject |
Machine Learning |
en_US |
dc.subject |
Deep Learning |
en_US |
dc.subject |
Dataset Creation |
en_US |
dc.title |
Plant Disease Detection in Real World Scenarios Using Deep Learning |
en_US |
dc.type |
Thesis |
en_US |