所在学科

农业电气化

最高学位

博士

职称/职务

讲师

博导/硕导

硕导

学习与工作经历

【学习经历】

2017.06—2020.12，江苏大学 电气信息工程学院，农业工程，博士

2014.09—2017.06，江苏大学 电气信息工程学院，信号与信息处理，硕士

2010.09—2014.06，江苏大学 电气信息工程学院，电子信息工程，学士

【工作经历】

2021.02-至今 江苏大学 电气信息工程学院

学术与社会任职

担任Bioresource Technology、Computers and Electronics in Agriculture、Journal of the Science of Food and Agriculture等国际期刊的审稿人

主讲课程

电工电子学A（Ⅰ）、电工电子学A（Ⅱ）等

研究领域

[1] 农作物信息无损检测技术

[2] 光谱/图像信息处理/深度学习

科研项目

[1] 国家自然科学基金青年项目，32201653，2023.01-2025.12，主持，在研；

[2] 中国博士后科学基金面上资助项目，2021M701479，2021.11-2023.12，主持，在研；

[3] 国家自然科学基金面上项目，31971788，2020.01-2023.12，参与，在研。

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.

获奖情况

省部级三等奖1项

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.

联系方式

Email：zhouxin_21@ujs.edu.cn

Q Q: 862218958