激光与光电子学进展, 2015, 52 (11): 113005, 网络出版: 2015-11-09  

基于特征光谱和GRNN 的糙米发芽率快速检测方法研究 下载: 506次

Rapid Testing Method of Brown Rice Germination Rate Based on Characteristic Spectrum and General Regression Neural Network
作者单位
1 南京农业大学工学院江苏省现代设施农业技术与装备工程实验室, 江苏 南京 210031
2 远程测控技术江苏省重点实验室, 江苏 南京 210096
3 南京农业大学农学院作物遗传与种质创新国家重点实验室, 江苏 南京 210095
引用该论文

李欢欢, 卢伟, 洪德林, 党晓景, 梁琨. 基于特征光谱和GRNN 的糙米发芽率快速检测方法研究[J]. 激光与光电子学进展, 2015, 52(11): 113005.

Li Huanhuan, Lu Wei, Hong Delin, Dang Xiaojing, Liang Kun. Rapid Testing Method of Brown Rice Germination Rate Based on Characteristic Spectrum and General Regression Neural Network[J]. Laser & Optoelectronics Progress, 2015, 52(11): 113005.

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李欢欢, 卢伟, 洪德林, 党晓景, 梁琨. 基于特征光谱和GRNN 的糙米发芽率快速检测方法研究[J]. 激光与光电子学进展, 2015, 52(11): 113005. Li Huanhuan, Lu Wei, Hong Delin, Dang Xiaojing, Liang Kun. Rapid Testing Method of Brown Rice Germination Rate Based on Characteristic Spectrum and General Regression Neural Network[J]. Laser & Optoelectronics Progress, 2015, 52(11): 113005.

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