Prediction of Total Soluble Solids in Apricot Using Adaptive Boosting Ensemble Model Combined with NIR and High-Frequency UVE-Selected Variables

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書誌詳細
出版年:	Molecules vol. 30, no. 7 (2025), p. 1543
第一著者:	Gao, Feng
その他の著者:	Xing, Yage, Li, Jialong, Guo, Lin, Sun, Yiye, Shi, Wen, Yuan, Leiming
出版事項:	MDPI AG
主題:	China Variables Machine learning Feature selection Accuracy Principal components analysis Datasets Spectrum analysis Fourier transforms Food quality Citrus fruits Calibration
オンライン･アクセス:	Citation/Abstract Full Text + Graphics Full Text - PDF
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