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dc.contributor.authorWairagala, Eric Peter
dc.contributor.authorNakanyike, Mariam
dc.contributor.authorBateesa, Saul Tobius
dc.contributor.authorDhikusooka, Joshua
dc.date.accessioned2021-04-27T08:05:01Z
dc.date.available2021-04-27T08:05:01Z
dc.date.issued2020-11
dc.identifier.urihttp://hdl.handle.net/20.500.12281/10373
dc.descriptionA 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 Universityen_US
dc.description.abstractAngular 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 diseaseen_US
dc.language.isoenen_US
dc.publisherMakerere Universityen_US
dc.subjectAngular leaf spoten_US
dc.subjectDiseasesen_US
dc.subjectBean productionen_US
dc.titleAngular leaf spot diagnosis systemen_US
dc.typeThesisen_US


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