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Updated: Jun 30, 2025

Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images
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在小麦面粉分类中的精度:利用深度学习和二维相关性谱 (2DCOS) 的力量

Tianrui Zhang1, Yifan Wang1, Jiansong Sun1

  • 1College of Artificial Intelligence, Nankai University, Tianjin 300350, China.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
|March 22, 2024
PubMed
概括

这项研究引入了一种新的方法,用于识别使用深度学习 (DL) 和二维相关光谱 (2DCOS) 的小麦粉类型. 该方法实现了100%的准确性,超过了准确识别面粉的传统方法.

关键词:
在 2DCOS 中,深度学习 (Deep Learning) 是一种深度学习.频谱分类 频谱分类 频谱分类小麦面粉 小麦面粉

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