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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...

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Detalles Bibliográficos
Autores principales: Askey, Bryce C., Dai, Ru, Lee, Won Suk, Kim, Jeongim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
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

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