主要論文論著 | [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. |
發明專利 | [1] 周鑫; 孫俊; 陳全勝; 蘆兵; 武小紅; 倪紀恒; 沈繼鋒; 基于SAE-LSSVR農作物镉含量Vis-NIR光譜深度特征模型建立方法, 2021-9-10, 中國, ZL 201910265834.8 [2] 孫俊, 周鑫, 武小紅, 戴春霞, 沈繼鋒, 楊甯. 一種基于WT-LSSVR的葉片镉含量Vis-NIR光譜特征建模方法, 2020-7-31, 中國, ZL 201810253782.8 . [3] 孫俊, 周鑫, 劉彬, 毛罕平, 武小紅, 張曉東, 辛燕. 基于可見光、近紅外、太赫茲融合光譜技術的大米新陳品質檢測裝置及檢測方法, 2018-10-9, 中國, ZL201610517638.1. [4] 孫俊, 周鑫, 毛罕平, 武小紅, 楊甯, 李青林, 高洪燕, 張曉東. 一種基于熒光高光譜技術的農藥殘留檢測裝置及檢測方法, 2018-4-3, 中國, ZL 201510296719.9. |
