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HARVEST
Undergraduate Research
SURE: Student Undergraduate Research Experience
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HARVEST
Undergraduate Research
SURE: Student Undergraduate Research Experience
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Classifying lentil testa (seedcoat) phenotypes using unsupervised learning
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Ewen_LentilPhenotypes_SURE2022.pdf (434.0Kb)
Date
2022
Author
Ewen, Amanda
Horovatin, Samuel
Najafian, Keyhan
Bett, Kirstin
Wright, Derek
Stavness, Ian
Jin, Lingling
Type
Poster Presentation
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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
URI
https://hdl.handle.net/10388/14204
Subject
lentils
machine learning
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SURE: Student Undergraduate Research Experience
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Creative Commons
Except where otherwise noted, this item's license is described as Attribution-NonCommercial 2.5 Canada
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