Dr. Shaojin Ma | Predictive Analytics | Best Researcher Award

China Agriculture University | China

Dr. Shaojin Ma is a prominent researcher at China Agricultural University, specializing in food quality, safety, and non-destructive testing technologies. With a focus on innovative techniques like spectroscopy and laser-induced fluorescence, Ma has significantly contributed to the field of agricultural engineering. His work aims to improve food safety, quality monitoring, and processing, with particular attention to non-invasive analysis methods for food products such as grains, legumes, and peppers. He has published extensively in top-tier journals, establishing himself as a key figure in food science and agricultural engineering.

Profile

Scopus

Education

Shaojin Ma completed his higher education at China Agricultural University, where he earned his degrees in agricultural engineering. His academic background laid a solid foundation for his career in food quality control and non-destructive testing. During his studies, he developed a strong interest in the application of optical and imaging technologies for food safety and quality monitoring, which has been the core of his subsequent research and academic contributions.

Experience

Dr. Ma’s professional career includes significant research work in agricultural engineering and food science. He is currently affiliated with China Agricultural University, where he collaborates with various academic and industry experts to advance food safety technologies. Over the years, he has worked on multiple projects focused on food quality, precision agriculture, and the development of portable devices for food testing. His research has led to the development of innovative non-invasive techniques for assessing food quality, particularly in the processing and storage of fruits, vegetables, and grains.

Research Interests

Shaojin Ma’s research interests primarily revolve around the application of advanced optical and imaging technologies in the food industry. He is particularly focused on non-destructive testing methods such as LED and laser-induced fluorescence for quality control in agricultural products. Ma’s work also explores the use of spectroscopy, computer vision, and deep learning to monitor food safety and detect contaminants. His research extends to improving the efficiency and accuracy of food analysis techniques, offering practical solutions for the food processing industry.

Awards

Shaojin Ma has been recognized for his contributions to food science and engineering, receiving several awards for his innovative research. His work in non-destructive testing and food quality monitoring has earned him acclaim in both academic and industrial circles. Although specific awards are not listed, his research excellence and influential publications have positioned him as a leader in his field.

Publications

Shaojin Ma has published a selection of impactful articles in prestigious journals related to food science and agricultural engineering. His notable publications include:

Fusion of visible and fluorescence imaging through deep neural network for color value prediction of pelletized red peppers

• • Authors: Ma, S., Li, Y., Peng, Y., Wang, W., Zhang, Y.
  • Publication Year: 2024
  • Citations: 0

A portable dual-gear device for non-destructive testing on multi-quality of citrus

• • Authors: Li, Y., Wu, J., Wang, W., Ma, S.
  • Publication Year: 2023
  • Citations: 3

Rapid detection of lactic acid bacteria in yogurt based on laser-induced fluorescence

• • Authors: Ma, S., Li, Y., Peng, Y., Wang, Q.
  • Publication Year: 2023
  • Citations: 0

Toward commercial applications of LED and laser-induced fluorescence techniques for food identity, quality, and safety monitoring: A review

• • Authors: Ma, S., Li, Y., Peng, Y., Wang, W.
  • Publication Year: 2023
  • Citations: 8

Spectroscopy and computer vision techniques for noninvasive analysis of legumes: A review

• • Authors: Ma, S., Li, Y., Peng, Y.
  • Publication Year: 2023
  • Citations: 15

Design and Experiment of a Handheld Multi-Channel Discrete Spectrum Detection Device for Potato Processing Quality

• • Authors: Wang, W., Li, Y.-Y., Peng, Y.-K., Yan, S., Ma, S.-J.
  • Publication Year: 2022
  • Citations: 1

Research Progress of Rapid Optical Detection Technology and Equipment for Grain Quality

• • Authors: Nie, S., Ma, S., Peng, Y., Wang, W., Li, Y.
  • Publication Year: 2022
  • Citations: 3

Predicting ASTA color values of peppers via LED-induced fluorescence

• • Authors: Ma, S., Li, Y., Peng, Y., Yan, S., Wang, W.
  • Publication Year: 2022
  • Citations: 8

Detection of nitrofurans residues in honey using surface-enhanced Raman spectroscopy

• • Authors: Yan, S., Li, Y., Peng, Y., Ma, S., Han, D.
  • Publication Year: 2022
  • Citations: 14

An intelligent and vision-based system for Baijiu brewing-sorghum discrimination

• • Authors: Ma, S., Li, Y., Peng, Y., Yan, S., Zhao, X.
  • Publication Year: 2022
  • Citations: 8

These publications have been cited by numerous articles, reflecting their impact in the scientific community.

Conclusion

Shaojin Ma has established himself as a leading researcher in the field of agricultural engineering and food science. His work on non-destructive testing techniques has enhanced the monitoring and improvement of food quality and safety. Through his publications, he has made significant strides in the application of advanced technologies for food analysis, benefiting both the scientific community and the food industry. With a career focused on innovation and practical solutions, Dr. Ma continues to contribute to the advancement of food safety technologies, setting a high standard for future research in this domain.