Scoring Root Necrosis in Cassava Using Semantic Segmentation
dc.contributor.author | Tusubira, Jeremy Francis | |
dc.contributor.author | Akera, Benjamin | |
dc.contributor.author | Nsumba, Solomon | |
dc.contributor.author | Nakatumba-Nabende, Joyce | |
dc.contributor.author | Mwebaze, Ernest | |
dc.date.accessioned | 2022-12-29T14:01:02Z | |
dc.date.available | 2022-12-29T14:01:02Z | |
dc.date.issued | 2020 | |
dc.description.abstract | Cassava a major food crop in many parts of Africa, has ma- jorly been a ected by Cassava Brown Streak Disease (CBSD). The dis- ease a ects tuberous roots and presents symptoms that include a yel- low/brown, dry, corky necrosis within the starch-bearing tissues. Cassava breeders currently depend on visual inspection to score necrosis in roots based on a qualitative score which is quite subjective. In this paper we present an approach to automate root necrosis scoring using deep convo- lutional neural networks with semantic segmentation. Our experiments show that the UNet model performs this task with high accuracy achiev- ing a mean Intersection over Union (IoU) of 0.90 on the test set. This method provides a means to use a quantitative measure for necrosis scor- ing on root cross-sections. This is done by segmentation and classifying the necrotized and non-necrotized pixels of cassava root cross-sections without any additional feature engineering. | en_US |
dc.identifier.citation | Tusubira, J. F., Akera, B., Nsumba, S., Nakatumba-Nabende, J., & Mwebaze, E. (2020). Scoring root necrosis in cassava using semantic segmentation. arXiv preprint arXiv:2005.03367. | en_US |
dc.identifier.uri | https://arxiv.org/abs/2005.03367 | |
dc.identifier.uri | https://nru.uncst.go.ug/handle/123456789/6748 | |
dc.language.iso | en | en_US |
dc.publisher | arXiv preprint arXiv | en_US |
dc.subject | Cassava | en_US |
dc.subject | CBSD | en_US |
dc.subject | Necrosis | en_US |
dc.subject | UNet | en_US |
dc.subject | Semantic segmentation | en_US |
dc.title | Scoring Root Necrosis in Cassava Using Semantic Segmentation | en_US |
dc.type | Article | en_US |
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