dc.contributor.author | Kakumirizi, Pius | |
dc.contributor.author | Nasasira, John | |
dc.contributor.author | Amoko, Ivan | |
dc.contributor.author | Ategyeka, Rodgers | |
dc.date.accessioned | 2022-04-11T07:04:57Z | |
dc.date.available | 2022-04-11T07:04:57Z | |
dc.date.issued | 2021-12-17 | |
dc.identifier.citation | Kakumirizi, P. (2021). Detecting late blight in asymptomatic tomatoes through the analysis of volatile organic compound emission. Undwergraduate dissertation. Makerere University | en_US |
dc.identifier.uri | http://hdl.handle.net/20.500.12281/11598 | |
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 | Tomatoes are important vegetables that contribute to food security for all, income generation to small-landholder farmers across Uganda and a source of revenue for the government. Tomato production is faced with pests and diseases, which lower crop yield by at least 40%, hence, a reduction in the profits, increased food insecurity and reduced government revenue. The limited
access to information by local farmers on how to identify the diseases further limits effective early disease diagnosis and pest infestation. This report includes an overview of studies that report on several ways of disease diagnosis using Volatile Organic Compounds (VOCs). We found that volatile organic compounds emitted from tomatoes provide functional information about health status of tomatoes and the possibility of using noninvasive detection of asymptomatic late blight infestation in tomatoes. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Makerere University | en_US |
dc.subject | Non-invasive | en_US |
dc.subject | Sniffer | en_US |
dc.subject | Pathology | en_US |
dc.subject | Fingerprints | en_US |
dc.title | Detecting late blight in asymptomatic tomatoes through the analysis of volatile organic compound emission. | en_US |
dc.type | Thesis | en_US |