Comparing Machine Learning Methods for Classifying Plant Drought Stress from Leaf Reflectance Spectr...
Comparing Machine Learning Methods for Classifying Plant Drought Stress from Leaf Reflectance Spectra in Arabidopsis thaliana
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Basel: MDPI AG
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English
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Basel: MDPI AG
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Plant breeders and plant physiologists are deeply committed to high throughput plant phenotyping for drought tolerance. A combination of artificial intelligence with reflectance spectroscopy was tested, as a non-invasive method, for the automatic classification of plant drought stress. Arabidopsis thaliana plants (ecotype Col-0) were subjected to d...
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Comparing Machine Learning Methods for Classifying Plant Drought Stress from Leaf Reflectance Spectra in Arabidopsis thaliana
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TN_cdi_doaj_primary_oai_doaj_org_article_ced2df9f4bcd45beb8ff7b62b43587bc
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ced2df9f4bcd45beb8ff7b62b43587bc
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ISSN
2076-3417
E-ISSN
2076-3417
DOI
10.3390/app11146392
