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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-10-01
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| Series: | Food Chemistry Advances |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772753X22001290 |