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通过整合生物光学和机器学习算法来检测小麦新鲜度的有效方法.

Weiya Shi1,2,3, Liang Chen4,5,6

  • 1Key Laboratory of Grain Information Processing and Control (Henan University of Technology), Ministry of Education, Zhengzhou, 450001, Henan, China. swymail@126.com.

Scientific reports
|December 31, 2024
PubMed
概括

这项研究使用机器学习和生物光子分析技术 (BPAT) 来评估小麦的新鲜度. 该方法准确评估谷物质量,提高储存安全.

关键词:
生物光子分析技术技术谷物存储的安全性 谷物存储的安全性机器学习 机器学习统计学指标 统计指标小麦的新鲜感 小麦的新鲜感

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