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Highlights • Multivariate analysis was used to develop twelve cooking and eating quality classes.• Two-layered random forest model was used to predict rice classification.• High classification accuracy of cooking and… Click to show full abstract
Highlights • Multivariate analysis was used to develop twelve cooking and eating quality classes.• Two-layered random forest model was used to predict rice classification.• High classification accuracy of cooking and eating quality ideotypes were obtained.• Mismatches from IRRI-released and consumer-preferred lines was capture by the model.
Keywords:
starch polymer;
cooking eating;
viscosity starch;
eating quality;
deploying viscosity
Journal Title: Carbohydrate Polymers
Year Published: 2021
Link to full text (if available)
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Journal Title: Carbohydrate Polymers
Year Published: 2021
Link to full text (if available)
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recommendations!