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Updated: Feb 14, 2026

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis
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ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis

Published on: August 19, 2021

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単核トウモロコシの総アントシアニン含有量の予測は,AutoMLと組み合わせたスペクトルデータとカラースペースデータを用いて行う

Umut Songur1, Sertuğ Fidan2, Ezgi Alaca Yıldırım3

  • 1Department of Field Crops, Faculty of Agriculture, Çanakkale Onsekiz Mart University, 17100 Çanakkale, Türkiye.

Sensors (Basel, Switzerland)
|February 13, 2026
PubMed
まとめ

自動機械学習 (AutoML) は,スペクトルおよび画像データを用いて,単一トウモロコシのトウモロコシのアントシアニン含有量を正確に予測します. この非破壊的な方法は,望ましい特性を効率的にスクリーニングすることにより,植物育種を強化します.

キーワード:
ゼア・メイズ (Zea mays) とは機械学習 (Machine Learning) とは,機械学習 (Machine Learning) とは,機械学習 (Machine Learning) と呼ばれるものです.近赤外線反射率について植物色素 植物色素

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