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===谢为俊资料===『返回』
姓名: 谢为俊    
职务: 职称: 讲师
办公电话: 通讯地址: 机电院3314
电子邮箱: weijun_xie@njfu.edu.cn 个人主页: https://www.researchgate.net/profile/Weijun-Xie-2
 教育背景与工作(挂职)经历:

时间

毕业院校

学历

2013.09-2017.06

南京农业大学 工学院

本科

2017.09-2022.06

中国农业大学 工学院

硕博连读

2022.08-至今

南京林业大学 机械电子工程学院

博士后

2022.08-至今

南京林业大学 机械电子工程学院

讲师

 研究方向:

1.机器视觉、光谱分析、深度学习

2.农林产品品质无损检测

3.农林产品智能加工装备

欢迎感兴趣的硕士生加入团队,欢迎相关专业本科生来实验室学习交流,参加国家级、省级及校级本科生创新创业等科创项目,完成本科毕业设计等。

 科研项目:

序号

项目名称

项目性质

起止年度


1

-固两相光声光谱特征分析驱动的带壳碧根果微酸败超灵敏检测

国家自然科学青年基金

2025.01-2027.12

主持

2

基于机器学习的多品类果蔬品质评估

企业横向

2023.7-2024.7

主持

3

块根块茎类蔬菜高效修整技术及其智能化装备的研制

“十三五”重点研发计划

2018.06-2021.06

参与

4

油茶桃预干燥剥壳分离技术及装备研究与示范

赣南油茶产业开发协同创新中心

2016.07-2020.10

参与

 论文与专著:

[1] Weijun   Xie,   Maocheng Zhao*, Chao Ni, Ying Liu, Bin Wu, Deyong Yang, Mengmeng Qiao.   Developing a novel prediction method for dual-parameter passion fruit quality   prediction based on transmission spectroscopy. Food and Bioproducts   Processing, 2025, 154, 187-197. (SCI, 中科院二区Top, https://doi.org/10.1016/j.fbp.2025.09.012)

[2] Qing   Guo(本科生),   Maocheng Zhao, Ying Liu, Bin Wu, Deyong Yang, Mengmeng Qiao, Yuping Huang, Weijun   Xie*. Developing an attention-enhanced deep learning approach for   impurity detection in Camellia oleifera seeds. Journal of Food Composition   and Analysis, 2025, 148, Part 1, 108148. (SCI, 中科院二区Top,   https://doi.org/10.1016/j.jfca.2025.108148)

[3] Weijun   Xie, Kai   Huang, Shuo Wei, Hanyu Fu, Deyong Yang*. Crack removal of carrot based on the   Cartesian robot with a novel path planning method. Journal of Food   Engineering, 2025, 388, 112381. (SCI, 中科院二区Top, https://doi.org/10.1016/j.jfoodeng.2024.112381)

[4] Weijun   Xie, Maocheng   Zhao*, Ying Liu, Deyong Yang, Kai Huang, Chenlong Fan, Zhandong Wang. Recent   advances in Transformer technology for agriculture: A comprehensive survey. Engineering   Applications of Artificial Intelligence, 2024, 138, 109412. (SCI, 中科院一区Top,    https://doi.org/10.1016/j.engappai.2024.109412)

[5] Weijun   Xie, Kai   Huang, Shuo Wei, Deyong Yang*. Extraction and modeling of carrot crack for   crack removal with a 3D vision. Computers and Electronics in Agriculture,   2024, 109192. (SCI, 中科院一区Top, https://doi.org/10.1016/j.compag.2024.109192)

[6] Weijun   Xie,   Shuo Wei, Deyong Yang*. Morphological Measurement for Carrot Based on   Three-Dimensional Reconstruction with a ToF Sensor. Postharvest Biology   and Technology, 2023, 197: 112216. (SCI, 中科院一区Top, https://doi.org/10.1016/j.postharvbio.2022.112216)

[7] Weijun   Xie,   Shuo Wei, Zhaohui Zheng, Zhaoli Chang, Deyong Yang*. Developing a Stacked   Ensemble Model for Predicting the Mass of Fresh Carrot. Postharvest   Biology and Technology, 2022, 186: 111848 (SCI, 中科院一区Top,   https://doi.org/10.1016/j.postharvbio.2022.111848)

[8] Weijun   Xie,   Shuo Wei, Zhaohui Zheng, Deyong Yang*. A CNN-based Lightweight Ensemble Model   for Detecting Defective Carrots. Biosystems Engineering, 2021, 208:   287-299 (SCI/EI, 中科院一区Top, https://doi.org/10.1016/j.biosystemseng.2021.06.008)

[9] Weijun   Xie,   Shuo Wei, Zhaohui Zheng, Yu Jiang, Deyong Yang*. Recognition of Defective   Carrots based on Deep Learning and Transfer Learning. Food and Bioprocess   Technology, 2021, 14(7), 1361-1374 (SCI/EI, 中科院二区Top,   https://doi.org/10.1007/s11947-021-02653-8)

[10]   谢为俊, 魏硕, 郑招辉, 杨光照, 丁鑫, 杨德勇*. 深度多分支模型融合网络的胡萝卜缺陷识别与分割. 农业工程学报, 2021,   37(2):177-186. (EI, https://doi.org/10.11975/j.issn.1002-6819.2021.2.021)

[11]   谢为俊, 魏硕, 王凤贺, 杨光照, 丁鑫, 杨德勇*. 基于机器视觉的胡萝卜表面缺陷识别方法研究. 农业机械学报, 2020,   51(S1): 450-456. (EI, https://doi.org/10.6041/j.issn.1000-1298.2020.S1.053)

[12]   谢为俊, 丁冶春, 王凤贺, 魏硕, 杨德勇*. 基于卷积神经网络的油茶籽完整性识别方法. 农业机械学报, 2020,   51(7): 14-22. (EI, https://doi.org/10.6041/j.issn.1000-1298.2020.07.000)

[13]   Weijun Xie, Pengxiao   Chen, Fenghe Wang, Xiaoqiang Li, Shuo Wei, Yu Jiang, Yan Liu, Deyong Yang*.   Dielectric properties of Camellia oleifera seed kernels related to microwave   and radio frequency drying. International Food Research Journal, 2019,   26(5): 1577-1585 (SCI).

[14]   Weijun Xie, Fenghe Wang,   Deyong Yang*. Research on Carrot Grading Based on Machine Vision Feature   Parameters. IFAC-PapersOnLine, 2019, 52(30): 30–35 (EI, https://doi.org/10.1016/j.ifacol.2019.12.485)

[15]   Weijun Xie, Fenghe Wang,   Deyong Yang*. Research on Carrot Surface Defect Detection Methods Based on   Machine Vision. IFAC-PapersOnLine, 2019, 52(30): 24–29 (EI, https://doi.org/10.1016/j.ifacol.2019.12.484)

[16]   谢为俊, 陈科颖, 乔梦梦, 吴斌, 郭庆, 赵茂程. 光声光谱技术在农林产品品质评估中的应用研究进展[J].   智慧农业(中英文),   2025, 7(4): 18-30.

[17]   谢为俊, 陈科颖, 姜雨, 杨德勇. 胡萝卜去皮装置设计与试验[J].   中国农机化学报,   2025, 46(12): 154-161.

[18]   Xie W. Guo, Q.(本科生), Ru   S. (本科生) and   Chen B. (本科生).   Research on Camellia Seed Recognition and Classification Based on Improved   ResNet Network, in 2025 IEEE 2nd International Conference on Big Data Science   and Engineering (ICBDSE), Kunming, China, 2025, pp. 1-6, https://doi.org/10.1109/ICBDSE65491.2025.11220080.

学术兼职:

[1] 担任《IEEE   Transactions on Industrial Informatics》、《Engineering   Applications of Artificial Intelligence》、《Information   Processing in Agriculture》等期刊审稿人

[2] 担任《Forests》客座编辑

[3]Journal   of Future Foods》、《现代农业装备》青年编委

 教学工作:

机器视觉与图像处理、Python编程基础,机电传动控制,人工智能原理与应用

 荣誉奖励:

2017.6 南京农业大学优秀毕业生

2022.6 中国农业大学优秀毕业生

2022.9 南京林业大学机电院青年教师讲课竞赛二等奖

2024.12 中国轻工业联合会科学技术奖二等奖

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