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Updated: Jun 14, 2025

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
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使用解释性机器学习方法,对三种典型的中国大米品种的磨度进行预测建模

Liu Yang1, Zilong Xu1, Xuan Xiao1

  • 1College of Mechanical Engineering, Wuhan Polytechnic University, Wuhan, China.

Journal of food science
|September 1, 2024
PubMed
概括

准确预测米磨度 (DOM) 对于防止营养损失至关重要. 这项研究开发了一种基于图像的机器学习模型,在预测残留树脂层 (DOR) 的程度方面达到超过91%的准确性.

关键词:
在DOM中预测DOM预测.解释SHAP的解释咖啡色大米 咖啡色大米提取特征 提取特征机器学习是机器学习.

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