Mathematical modeling to predict rice's phenolic and mineral content through multispectral imaging

Over half the world population relies on rice for energy, but being a carbohydrate-based crop, it offers limited nutritional benefits. To achieve nutritional security targets in Asia, we must understand the genetic variation in multi-nutritional properties with therapeutic properties and deploy this...

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Detalles Bibliográficos
Autores principales: Buenafe, Reuben James, Tiozon, Rhowell, Boyd, Lesley A., Sartagoda, Kristel June, Sreenivasulu, Nese
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9767410/
https://www.ncbi.nlm.nih.gov/pubmed/36570628
http://dx.doi.org/10.1016/j.focha.2022.100141

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9767410/
https://www.ncbi.nlm.nih.gov/pubmed/36570628
http://dx.doi.org/10.1016/j.focha.2022.100141

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