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Takashi Matsumoto

tokyo university of marine science & technology

H指数:4

被引数:52

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Combining comparative spectroscopic analysis with machine learning for origin identification and wheat flour blending ratio prediction in buckwheat flour

结合比较光谱分析技术与机器学习进行苦荞粉中产地识别和面粉掺混比例预测

Journal of Food Measurement and Characterization

IF3.3

2026-06-290

OAAI

Comparative Evaluation of Fluorescence, NIR, and FT-IR Spectroscopy Combined with Machine Learning for Geographical Origin and Species Identification of Brown Algae

荧光、近红外和傅里叶变换红外光谱结合机器学习对褐藻地理来源和物种鉴定的比较评估

Applied Sciences-Basel

IF2.5

2026-05-080

OA

Identification of the Geographical Origins of Matcha Using Three Spectroscopic Methods and Machine Learning

AgriEngineering

IF3

2026-01-250

OAAI

Japanese Rice Variety Identification by Fluorescence Fingerprinting, Near-Infrared Spectroscopy, and Machine Learning

基于荧光指纹、近红外光谱和机器学习的日本水稻品种识别

AgriEngineering 2025, Vol. 7, Page 374

IF3

2025-11-050

OAAI

Fluorescence Spectroscopy and a Convolutional Neural Network for High-Accuracy Japanese Green Tea Origin Identification

荧光光谱技术与卷积神经网络用于高精度日本绿茶产地识别

AGRIENGINEERING

IF3

2025-04-010

OA

Domestic and Imported Food Product Recalls in Japan: Trend Analysis and Preventive Measures

IF3.3

2022-06-280

OA