Phenotype Analysis of Arabidopsis thaliana Based on Optimized Multi-Task Learning
Phenotype Analysis of Arabidopsis thaliana Based on Optimized Multi-Task Learning
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Deep learning techniques play an important role in plant phenotype research, due to their powerful data processing and modeling capabilities. Multi-task learning has been researched for plant phenotype analysis, which can combine different plant traits and allow for a consideration of correlations between multiple phenotypic features for more compr...
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Full title
Phenotype Analysis of Arabidopsis thaliana Based on Optimized Multi-Task Learning
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TN_cdi_doaj_primary_oai_doaj_org_article_cca91aa2487e494189b47bf4388c0a31
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_cca91aa2487e494189b47bf4388c0a31
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ISSN
2227-7390
E-ISSN
2227-7390
DOI
10.3390/math11183821
