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A noninvasive, machine learning–based method for monitoring anthocyanin accumulation in plants using digital color imaging
PREMISE: When plants are exposed to stress conditions, irreversible damage can occur, negatively impacting yields. It is therefore important to detect stress symptoms in plants, such as the accumulation of anthocyanin, as early as possible. METHODS AND RESULTS: Twenty‐two regression models in five c...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley and Sons Inc.
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6858293/ https://www.ncbi.nlm.nih.gov/pubmed/31832283 http://dx.doi.org/10.1002/aps3.11301 |