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基于高光谱成像和深度学习的蓝检测

Chengbiao Fu1, Siyi Liu2, Anhong Tian3

  • 1Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China; Yunnan Key Laboratory of Computer Technologies Application, Kunming University of Science and Technology, Kunming 650500, China.

Food research international (Ottawa, Ont.)
|January 29, 2026
PubMed
概括

本研究使用高光谱成像与分数顺序导数 (FOD) 和改进的拉普拉斯特征图 (ILE) 来准确检测不同品种和成熟度的蓝糖含量. 优化的模型增强了蓝的快速,大规模的质量评估.

关键词:
蓝 蓝是一种蓝.卷积神经网络 (CNN) 是一种卷积神经网络.分数顺序的衍生品分数顺序的衍生品超光谱成像技术的使用.拉普拉斯人的自身地图.

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