Application of classification models in screening superior rice grain quality in male sterile and pollen parents
Journal of Food Composition and Analysis(2021)
摘要
•Random forest models developed to predict cooking quality models.•Efficient prediction of cooking quality models of male sterile and pollen parents.•Linking grain quality data to sensory perception.•Identifying hybrids matching superior grain quality in the target regions.
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关键词
Random forest,Rice,Rice quality,Artificial neural network,Support vector machine
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