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| dc.contributor.author | Nabwire, Lucy | |
| dc.date.accessioned | 2022-06-07T06:52:18Z | |
| dc.date.available | 2022-06-07T06:52:18Z | |
| dc.date.issued | 2019-05 | |
| dc.identifier.citation | Nabwire, Lucy. (2019). Mobile application for diagnosis of anthracnose in beans. Busitema University. Unpublished dissertation. | en_US |
| dc.identifier.uri | http://hdl.handle.net/20.500.12283/1536 | |
| dc.description | Dissertation. | en_US |
| dc.description.abstract | The mobile application for diagnosis of anthracnose in beans is designed in such way that the client does not require much technical knowledge to operate it. The instructions are pretty straight forward and will lead the user to the desired solution within short time. This automated system is combined of press and send techniques. Farmers or users will take image using mobile phones and send it to server via mobile application. In server, the image will be analyzed based on visual and textural attributes using different image processing algorithms and the system will yield the disease name which will be sent to the mobile application on the client’s end. | en_US |
| dc.description.sponsorship | Ms. Owomugisha Godliver, Busitema University. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Busitema University. | en_US |
| dc.subject | Mobile application | en_US |
| dc.subject | Diagnosis | en_US |
| dc.subject | Anthracnose | en_US |
| dc.subject | Beans | en_US |
| dc.subject | Automated system | en_US |
| dc.subject | Mobile phones | en_US |
| dc.subject | Image processing | en_US |
| dc.subject | Disease name | en_US |
| dc.title | Mobile application for diagnosis of anthracnose in beans. | en_US |
| dc.type | Thesis | en_US |
