Classifying lentil testa (seedcoat) phenotypes using unsupervised learning
| dc.contributor.author | Ewen, Amanda | |
| dc.contributor.author | Horovatin, Samuel | |
| dc.contributor.author | Najafian, Keyhan | |
| dc.contributor.author | Bett, Kirstin | |
| dc.contributor.author | Wright, Derek | |
| dc.contributor.author | Stavness, Ian | |
| dc.contributor.author | Jin, Lingling | |
| dc.date.accessioned | 2022-09-22T21:47:52Z | |
| dc.date.available | 2022-09-22T21:47:52Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | Lentils have different seed coat colours and patterns. Accurate classification of lentils by testa patterns helps plant scientists understand the genetics of seed coats in lentils. Computers can be used for this analysis | en_US |
| dc.description.sponsorship | NSERC/CRSNG | en_US |
| dc.identifier.uri | https://hdl.handle.net/10388/14204 | |
| dc.language.iso | en | en_US |
| dc.rights | Attribution-NonCommercial 2.5 Canada | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc/2.5/ca/ | * |
| dc.subject | lentils | en_US |
| dc.subject | machine learning | en_US |
| dc.title | Classifying lentil testa (seedcoat) phenotypes using unsupervised learning | en_US |
| dc.type | Poster Presentation | en_US |