Comparing Machine Learning Methods for Classifying Plant Drought Stress from Leaf Reflectance Spectra in <i>Arabidopsis thaliana</i>

Comparing Machine Learning Methods for Classifying Plant Drought Stress from Leaf Reflectance Spectra in <i>Arabidopsis thaliana</i>

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. <i>Arab...

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Détails bibliographiques
Auteurs principaux: Ana Barradas, Pedro M.P. Correia, Sara Silva, Pedro Mariano, Margarida Calejo Pires, Ana Rita Matos, Anabela Bernardes da Silva, Jorge Marques da Silva
Format: Article
Langue:English
Publié: MDPI AG 2021-07-01
Collection:Applied Sciences
Sujets:
<i>Arabidopsis thaliana</i>
water stress
soil water content
reflectance spectra
plant phenotyping
artificial intelligence
Accès en ligne:https://www.mdpi.com/2076-3417/11/14/6392

Internet

https://www.mdpi.com/2076-3417/11/14/6392

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