| 主要论文论著 | [1] Zhou Xin*, Zhao Chunjiang, Sun Jun*, Cao Yan, Yao Kunshan, Xu Min. A deep learning method for predicting lead content in oilseed rape leaves using fluorescence hyperspectral imaging. Food Chemistry, 2023, 409: 135251.
[2] Zhou Xin*, Zhao Chunjiang, Sun Jun, Yao Kunshan, Xu Min, Cheng Jiehong. Nondestructive testing and visualization of compound heavy metals in lettuce leaves using fluorescence hyperspectral imaging. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2023, 291: 122337.
[3] Zhou Xin*, Zhao Chunjiang, Sun Jun*, Yao Kunshan, Xu Min. Detection of lead content in oilseed rape leaves and roots based on deep transfer learning and hyperspectral imaging technology. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2023, 290: 122288.
[4] Zhou Xin*, Sun Jun*, Tian Yan, Yao Kunshan, Xu Min. Detection of heavy metal lead in lettuce leaves based on fluorescence hyperspectral technology combined with deep learning algorithm. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2022, 266: 120460.
[5] Zhou Xin*, Zhao Chunjiang, Sun Jun*, Cao Yan, Fu lvhui. Classification of heavy metal Cd stress in lettuce leaves based on WPCA algorithm and fluorescence hyperspectral technology. Infrared Physics & Technology, 2021, 119: 103936.
[6] Zhou xin, Sun Jun*, Tian Yan, Lu Bing, Hang Yingying, Chen Quansheng. Hyperspectral technique combined with deep learning algorithm for detection of compound heavy metals in lettuce. Food Chemistry, 2020,321:126503.
[7] Zhou xin, Sun Jun*, Tian Yan, Chen Quansheng, Wu Xiaohong, Hang Yingying. A Deep Learning Based Regression Method on Hyperspectral Data for Rapid Prediction of Cadmium Residue in Lettuce Leaves. Chemometrics and Intelligent Laboratory Systems, 2020,200:103996.
[8] Zhou Xin, Sun Jun*, Wu Xiaohong, Lu Bing, Yang Ning, Dai Chunxia. Research on moldy tea feature classification based on WKNN algorithm and NIR hyperspectral imaging. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2019, 206: 378-383
[9] Zhou Xin, Sun Jun*, Tian Yan, Lu Bing, Hang Yingying, Chen Quansheng. Development of deep learning method for lead content prediction of lettuce leaf using hyperspectral images. International Journal of Remote Sensing, 2019,41(6):2263-2276.
[10] Sun Jun, Zhou Xin*, Hu Yongguang, Wu Xiaohong, Zhang Xiaodong, Wang Pei. Visualizing Distribution of Moisture Content in Tea Leaves Using Optimization Algorithms and NIR Hyperspectral Imaging[J]. Computers and Electronics in Agriculture. 2019, 160: 153-159. |
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| 发明专利 | [1] 周鑫; 孙俊; 陈全胜; 芦兵; 武小红; 倪纪恒; 沈继锋; 基于SAE-LSSVR农作物镉含量Vis-NIR光谱深度特征模型建立方法, 2021-9-10, 中国, ZL 201910265834.8
[2] 孙俊, 周鑫, 武小红, 戴春霞, 沈继锋, 杨宁. 一种基于WT-LSSVR的叶片镉含量Vis-NIR光谱特征建模方法, 2020-7-31, 中国, ZL 201810253782.8 .
[3] 孙俊, 周鑫, 刘彬, 毛罕平, 武小红, 张晓东, 辛燕. 基于可见光、近红外、太赫兹融合光谱技术的大米新陈品质检测装置及检测方法, 2018-10-9, 中国, ZL201610517638.1.
[4] 孙俊, 周鑫, 毛罕平, 武小红, 杨宁, 李青林, 高洪燕, 张晓东. 一种基于荧光高光谱技术的农药残留检测装置及检测方法, 2018-4-3, 中国, ZL 201510296719.9. |
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