dc.contributor.author | Wairagala, Eric Peter | |
dc.contributor.author | Nakanyike, Mariam | |
dc.contributor.author | Bateesa, Saul Tobius | |
dc.contributor.author | Dhikusooka, Joshua | |
dc.date.accessioned | 2021-04-27T08:05:01Z | |
dc.date.available | 2021-04-27T08:05:01Z | |
dc.date.issued | 2020-11 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12281/10373 | |
dc.description | A Project Report Submitted to the School of Computing and Informatics Technology for the Study Leading to a Project in Partial Fulfillment of the Requirements for the Award of the Degree of Bachelor of Science in Software Engineering of Makerere University | en_US |
dc.description.abstract | Angular leaf spot is one of the major diseases affecting beans and this has greatly affected bean production in Uganda. This is due to lack of early identification of angular leaf spot disease, limited information available to farmers about the spread, treatment and prevention of angular leaf spot, this document thus presents a solution that helps a farmer identify whether beans are infected with angular leaf spot or are healthy and detailed information on treatment, prevention and spread of angular leaf spot disease | en_US |
dc.language.iso | en | en_US |
dc.publisher | Makerere University | en_US |
dc.subject | Angular leaf spot | en_US |
dc.subject | Diseases | en_US |
dc.subject | Bean production | en_US |
dc.title | Angular leaf spot diagnosis system | en_US |
dc.type | Thesis | en_US |