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将Vis-NIR和NIR高光谱成像技术与数据融合策略相结合,用于预测羊肉中诺夫洛克萨辛残留物

Yingjie Feng1, Yu Lv1, Fujia Dong2

  • 1College of Food Science and Engineering, Ningxia University, Yinchuan 750021, China.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
|July 25, 2024
PubMed
概括

将可见近红外和近红外高光谱成像 (HSI) 与数据融合相结合,可以改善在羊肉中检测诺弗洛素残留物. 功能级融合与非信息变量消除和随机配置网络产生了最好的预测模型.

关键词:
数据融合数据融合超光谱成像技术的使用.检测残留物的残留物检测随机配置网络 随机配置网络是指随机配置的网络.

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