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Chenfengnong

Career: Associate professor

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Doctor, associate professor, Ph.D supervisor. Postdoctoral Fellow of Royal Institute of technology(Sweden), doctor of Zhejiang University, chief scientist of Pufeng Intelligent Equipment Co., Ltd. Mainly engaged in computer vision and intelligent detection, involving the design and development of machine vision equipment, the development of medical imaging instruments, intelligent agriculture and so on. The knowledge required covers mechanical, electronic and computer fields, with particular emphasis on artificial intelligence (image processing, pattern recognition and deep learning).


Theoretical research: at present, it has completed a number of projects such as National Natural Science Foundation, national key R & D plan and Zhejiang provincial key R & D plan, and published more than 20 high-level papers and dozens of patents in this field.


If you want to see more content, you can browse my personal homepage (https://faculty.hdu.edu.cn/zdhxy/cfn/main.htm ) or company website(http://www.pfst.cn/ ).

These are all Chinese information, you can use translation software to take a look.


Educational experience
Cwork experience

Ø Medical imaging processing, KTH Royal Institute of Technology, Stockholm, Sweden

August 2015— Set 2016

      Associate research, Breast cancer research using MRI- IVIM and MRI-DCE

Ø Biomedical Engineering, Hangzhou Dianzi University, Hangzhou, China      

 January 2013                                                                                                                

        Associate professor,  both on teaching and scientific researching

Teaching curriculum: “Digital Image processing”, “Pattern Recognition(graduate student)”, “Machine Vision(graduate student)”,  “Biostatistics”, “Machinery Technology”

Research field    : Hyperspectral Image in agricultural product and  heavy metal detect of capsule;

Machine vision online detection of agricultural product, capsule and magnetism   material;

Multi-modal brain network in DOC (Disorders of Consciousness), include EEG, fMRI;

                              Breast cancer detection in Magnetic Resonance Imaging(MRI).

Ø Hangzhou Pufeng Integellience Technological  Co., Ltd, Hangzhou, China  Jan 2019Present   (pufengvision.com )

Founder,Chief scientist,  design and develop Computer vision product  

Ø College of Bio-systems Engineering and Food Science, Zhejiang University, Hangzhou, China      March 2012December 2012                                                             (www.zju.edu.cn )

Do some research in agricultural product detection using machine vision technology as post-doctoral .    

Ø Hangzhou Huachun Chemical Fibre Dyeing and Weaving Co., Ltd, Hangzhou, China  July 2004September 2005 

       Head of a workshop,  design some simple non-standard mechanical product. 


Social position
Research field

Rapid nondestructive detection of agricultural product quality using image or spectral;  Machine vision and deep learning online detection; Collaborative operation of robotic arm, end effector, and visual system

I am also the chief scientist of a company and have some experience in the combination of industry, University and research. At present, a variety of products have been developed, which has made a certain contribution to industrial upgrading.


Courses

· Image processing,Pattern recognition and machine learning (undergraduate)

· Pattern recognition, Machine vision and Image processing (postgraduate)


Research project
Scientific research achievements

1)   2025.01-2028.12National Natural Science Foundation of China (General Project), Non destructive perception of early scab disease in sweet potatoes using spatiotemporal fusion modeling under respiratory inhibition62471166.(520, 000 RMB)

2)   2022.12-2024.10Zhejiang Province Agricultural Machinery R&D, Manufacturing, Promotion and Application Integration Pilot Project, Development and ripening of intelligent sorting equipment for free fruit tray type fruit quality.(14 million RMB)

3)   2021.01-2023.12Zhejiang Provincial Key R&D Program, Research and development of key technologies and equipment for precise control of quality assurance and loss reduction of agricultural products2021C02011.(2,560,000 RMB)

4)   2019.12-2021.12National Key Research and Development Program, Research on Key Technologies for Modern Identification and Intervention of Common Abnormal Manifestations in Traditional Chinese Medicine Meridian Acupoints, 2019YFC1711902.(560,000 RMB)


Publications

1) Haowen Liu , Fengnong Chen, et al. Improvement method for tea leaf moisture content prediction using VIS-NIR spectrum based on transfer learning[J],Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2025, 343:126571.(As Corresponding author)

2) Chen F , Li Y , Sun H ,et al.Petal damage and bent flower detection method of rose cut flowers based on computer vision[J].Scientia Horticulturae, 2025, 340: 113927. 

3)  Li Y , Sun H , Chen F ,et al.Combined gramian angular difference field image coding and improved mobile vision transformer for determination of apple soluble solids content by Vis-NIR spectroscopy[J].Journal of Food Composition & Analysis, 2024, 131(000):11. (As Corresponding author)

4)  Li Y, Chen F, etc. Research on Detection of Potato Varieties Based on Spectral Imaging Analytical Algorithm[J]. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2024, 311: 123966.  (As Corresponding author)

5)  Wei Q, Chen F, etc. Nondestructive perception of potato quality in actual online production based on cross-modal technology[J]. International Journal of Agricultural and Biological Engineering, 2023, 16(6): 1-11.  (As Corresponding author)

6)  Chen F, Zhang Y, Zhang J, etc. Rice false smut detection and prescription map generation in a complex planting environment with mixed methods based on near earth remote sensing[J]. Remote Sensing, 2022, 14:945. 

7)  Qi Xiao, Zhenzeng Zhou, Zijie Shen, Jiandan Chen, Chunchuan Gu, Lihua Li, Fengnong Chen,Hongying Liu. Electrochemical fingerprinting combined with machine learning algorithm for closely related medicinal plant identification[J]. Sensors & Actuators: B. Chemical, 2023, 375: 132922.   (As Corresponding author)

8)  Fenyun Zhang, Shuang XIE, Chunwang Dong, Yiting Xu, Zhengwei Zhang, Hongwei Sun, Fengnong Chen. A tea bud segmentation, detection and picking point localization based on the MDY7-3PTB model[J].Frontiers in Plant Science, 2023, 14:1199473. (As Corresponding author)

9)  Mengda Zhang, Dan Long, Fengnong Chen, etc.Multi-view graph network learning framework for identification of major depressive disorder[J]. Computers in Biology and Medicine, 2023, 166: 107478.  (As Corresponding author)

10)  Yunshuai Ding, Yongjian Xu, Qiqin Liu, Hongwei Sun, Fengnong Chen. Research on boundary-aware waters segmentation network for unmanned surface vehicles in complex inland waters[J]. International Journal of Machine Learning and Cybernetics, 2023: 1-12.  (As Corresponding author)

11)  Fengnong Chen, Zhaoqing Chen, Hongwei Sun,Jianjun Zhu, Kaihua Wu, Shuiqin Zhou and Yun Huang. Dendrobium candidum quality detection in both food and medicine agricultural product: Policy, status, and prospective[J]. Frontiers in Sustainable Food Systems, 2022, 6:1042901.

12)  Chen F , Zhang Y , Zhang J ,et al.Rice False Smut Detection and Prescription Map Generation in a Complex Planting Environment, with Mixed Methods, Based on Near Earth Remote Sensing[J].Remote Sensing, 2022, 14(4):13.  

13) Chen F, Zhang Y, Zhang J, etc. Rice False Smut Detection and Prescription Map Generation in a Complex Planting Environment with Mixed Methods Based on Near Earth Remote Sensing[J]. Remote Sensing, 2022, 14:945.

14) Zhang Y , Wang C , Huang J , Chen F and Wu K. Exploring the Optical Properties of Leaf Photosynthetic and Photo-Protective Pigments In Vivo Based on the Separation of Spectral Overlapping[J]. Remote Sensing, 2020, 12(21):3615.

15) Hongze Lin, Zejian Li, Fengnong Chen, etc. Robust Classification of Tea Based on Multi-Channel LED-Induced Fluorescence and a Convolutional Neural Network. Sensor,2018, 19(21):4687.

16) Chen F N, Chen P L, Fan K, et al. Hyperspectral Reflectance Imaging for Detecting Typical Defects of Durum Kernel Surface[J]. Intelligent Automation & Soft Computing, 2018, 38(7): 2233- 2240.  

17) XIE Ya-ping, CHEN Feng-nong, ZHANG Jing-cheng, et al. Study on Monitoring of Common Diseases of Crops Based on Hyperspectral Technology [J]. Spectroscopy and Spectral Analysis, 2018, 38(07): 247-254. 

18) WU Kaihua, SUN Xuechao, ZHANG Jingcheng, CHEN Fengnong. Terrain Following Method of Plant Protection UAV Based on Height Fusion, Transactions of the Chinese Society for Agricultural Machinery, 2018,49(6): 17-23.

19) Chen F, Chen P, Hamid M H, et al. Intravoxel Incoherent Motion Diffusion for Identification of Breast Malignant and Benign Tumors Using Chemometrics:[J]. BioMed Research International, 2017: 1-10.  

20) CHEN Feng-nong CHEN Pu-lan XIE Ya-ping,etc. Rapid Detection for Toxic Capsules with Chromium Based on Hyperspectral Imaging Technology [J]. Acta Metrologica Sinica, 2017, 38(6): 765-769. 

21) Zhang, J., Wang, N., Yuan, L., Chen, F., & Wu, K. Discrimination of winter wheat disease and insect stresses using continuous wavelet features extracted from foliar spectral measurements[J]. Biosystems Engineering, 2017, 162: 20-29.  

22)  Chen F, Chen P, Chromium-laced medical capsules detection based on hyperspectral imaging technology. International Agricultural Engineering Journal, 2016, 25(4)293-302.  


Books
Patent

1) Chen fengnong, Ding Yunshuai. A complex scene detection method combining boundary perception and semantic segmentation, China, 2022107776802.(Granted at 2025-06-06)

2) Chen fengnong, Zhang MengdaLiu YuanzhengZhang Juan. A method for removing skin glands and nipples from mammography images based on image processing, China, 2022104480939.(Granted at 2025-01-28)

3) Chen fengnong, Zhang MengdaLiu YuanzhengZhang Juan. A deep learning based breast molybdenum target pectoralis major muscle region segmentation method,China,  2022104490752.(Granted at 2024-02-20)

4) Che Hongshu, Chen Fengnong. A visual inspection device for automatic displacement, 2017.06, China, ZL201720807200.7.  (Granted at 2023-09-26)

5) Chen fengnong, Tang Youfu. A testing device for magnetic materials, 2017.06, China, ZL201720100443.7 (Granted at 2023-03-31)


Honor and Award
Software Copyright