Rui Kang

Recent Projects

Currently, I am working on devoloping smart algorithms to accelerate the detection of foodborne pathogens occured in various food matrics. I also start to build tiny and intelligent optical systems to ensure the food quality and safety. We are now searching for the advanced optical imaging and sensing techniques for smart farming.

Hyperspectral Microscope Imaging Technology

  

Supported by NSFC, No 321016482

In this project, we combined advanced deep learning framework with hyperspectral and microscope technology to identify various foodborne bacteria. This technology can realize non-invasive classification of foodborne pathogens at the single-cell level, this digital diagnostic approach has potential for commercial applications.

Optical Detection and Image Processing

In this project, we developed rapid optical detection methods for food hazards, especially for the contaminants on cherry tomatoes. This technology can effectively supervise the safety and quality of poultry products during the production process. Further, the various imaging technology can be flexibly transferred to other monitoring tasks

Agricultural Smart Factory

  

In this project, we proposed a totally intelligent automation solution for growing tomatoes in the green house. By adopting our methods, the distributed processing equipment will be centrally managed and controlled automatically.

Research

I'm interested in developing efficient intelligent tools for smart agriculture implementation (e.g. classification, detection, and spatial-spectral fusion) using optical, automatic, and robotic devices.

Publications:

1. Rapid identification of foodborne bacteria with hyperspectral microscopic imaging and artificial intelligent classification algorithms
   Rui Kang, Bosoon Park, Qin Ouyang, Ni Ren
   Food Control 2021 | Paper

2. Physicochemical indicators coupled with multivariate analysis for comprehensive evaluation of matcha sensory quality
   Jizhong Wu, Qin Ouyang, Bosoon Park, Rui Kang, Bosoon Park, Zhen Wang, Quansheng Chen
   Food Chemistry 2021 | Paper

3. Simultaneous quantification of chemical constituents in matcha with visible-near infrared hyperspectral imaging technology
   Qin Ouyang, Li Wang, Bosoon Park, Rui Kang, Bosoon Park, Quansheng Chen
   Food Chemistry 2021 | Paper

4. Classification of foodborne bacteria using hyperspectral microscope imaging technology coupled with convolutional neural networks
   Rui Kang, Bosoon Park, Qin Ouyang, Kunjie Chen
   Applied Microbiology and Biotechnology 2020 | Paper

5. Assessment of matcha sensory quality using hyperspectral microscope imaging technology
   Qin Ouyang, Li Wang, Bosoon Park, Rui Kang, Zhen Wang, Quansheng Chen, Zhiming Guo
   LWT 2020 | Paper

6. Single-cell classification of foodborne pathogens using hyperspectral microscope imaging coupled with deep learning frameworks
   Rui Kang, Bosoon Park, Matthew Eady, Qin Ouyang, Kunjie Chen
   Sensors and Actuators B: Chemical 2020 | Paper

7. An experimental study of stunned state detection for broiler chickens using an improved convolution neural network algorithm
   Changwen Ye, Zhenwei Yu, Rui Kang, Khurram Yousaf, Chao Qi, Kunjie Chen, Yuping Huang
   Computers and Electronics in Agriculture 2020 | Paper

8. A novel hyperspectral microscope imaging technology for rapid evaluation of particle size distribution in matcha
   Qin Ouyang, Yongcun Yang, Bosoon Park, Rui Kang, Quansheng Chen, Zhiming Guo, Huanhuan Li
   Journal of Food Engineering 2021 | Paper

9. Identifying non-O157 Shiga toxin-producing Escherichia coli (STEC) using deep learning methods with hyperspectral microscope images
   Rui Kang, Bosoon Park, Kunjie Chen
   Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 2019 | Paper

10. Automatic Identification of Asian Rice Plant-Hopper Based on Image Processing
    Jialiang Wang, Rui Kang, Kunjie Chen, Deying Liu, Haiming Yu
    Applied Engineering in Agriculture 2017 | Paper

11. Development of Online Detection and Processing System for Contaminants on Chicken Carcass Surface
    Rui Kang, Kai Yang, Xiaxia Zhang, Wei Wu, Kunjie Chen
    Applied Engineering in Agriculture 2016 | Paper

Awards

2017, CSC Scholarship

2016, National Scholarship for Graduate Students