Giju Eoh | Agricultural and Biological Sciences | Best Researcher Award

Mr. Giju Eoh | Agricultural and Biological Sciences | Best Researcher Award

Ph.D. student Chungnam National University South Korea

Giju Eoh is a dedicated researcher specializing in AI-driven agricultural technologies, with a particular focus on non-destructive analysis and sustainable cultivation methods. Currently pursuing a Ph.D. in AI-Plant at Chungnam National University, he combines his background in Polymer Engineering with advanced AI applications to revolutionize the field of smart farming. His innovative work, supported by teaching, patent contributions, and academic accolades, showcases his commitment to sustainable and efficient agricultural practices.

Profile

Orcid

Education ๐ŸŽ“

  • Ph.D. in AI-Plant (Expected Aug. 2026): College of Bio-AI Convergence, Chungnam National University, Republic of Korea.
  • M.S. in AI-Plant (Graduated Aug. 2022): College of Bio-AI Convergence, Chungnam National University, Republic of Korea.
  • B.S. in Polymer Engineering (Graduated Feb. 2019): College of Engineering, Inha University, Republic of Korea.

Experience ๐Ÿ’ผ

Giju Eoh has gained valuable experience as a lecturer in the AI Smart Farm Education Program, where he developed and taught predictive modeling methods for anthocyanin content in red lettuce. Additionally, he has been a key contributor to academic research and innovation, including the co-invention of a patented seedling bed system that optimizes growth efficiency and minimizes waste.

Research Interests ๐Ÿ”

Gijuโ€™s research focuses on the intersection of AI and agriculture, with specific interests in:

  • Non-destructive analysis techniques for phytochemical content in crops.
  • Machine learning and predictive modeling for smart farming applications.
  • Sustainable recycling methods for by-products in protected cultivation systems.

Awards ๐Ÿ†

  • Outstanding Poster Award (2021): For groundbreaking work on RGB image-based analysis of red lettuce anthocyanin content, presented at The Korean Society for Bio-Environment Control.
  • Outstanding Poster Award (2024): For innovative research on recycling pathways for coir waste substrates, also presented at The Korean Society for Bio-Environment Control.

Publications Top Notes:๐Ÿ“š

Eoh, G., Lim, S., & Park, J. (2025). Non-destructive Analysis of Anthocyanin Content Levels Based on RGB Images of Red Lettuce. Published in Horticultural Science and Technology. DOI: 10.7235/HORT.20250005

Eoh, G., Kim, C., Bae, J., & Park, J. (2024). Evaluation of Sodium Chloride Concentrations on Growth and Phytochemical Production of Mesembryanthemum crystallinum L. in a Hydroponic System. Published in Horticulturae. DOI: 10.3390/horticulturae10121304

 

Xiaokang Chen | Agricultural Science and Innovation | Best Researcher Award

Assist. Prof. Dr. Xiaokang Chen | Agricultural Science and Innovation | Best Researcher Award

Researcher Xinjiang university China

Dr. Xiaokang Chen is an Associate Professor at Xinjiang University and a Master’s tutor at the School of Intelligent Manufacturing and Modern Industry. He is recognized as a young doctoral talent under the prestigious Tianchi Talent program of the Xinjiang Uygur Autonomous Region. Dr. Chen specializes in recycling agricultural technology, agricultural picking robots, and intelligent agricultural equipment, significantly contributing to sustainable agriculture and automation.

Profile

Scopus

Education ๐ŸŽ“

Dr. Chen holds a Ph.D. in Mechanical and Intelligent Systems, with expertise in agricultural robotics and sustainable technologies. His academic journey includes prestigious roles as both a researcher and educator, shaping the next generation of innovators in intelligent manufacturing.

Experience ๐Ÿซ

With a decade of professional experience, Dr. Chen has led numerous cutting-edge research projects, including one under the National Natural Science Foundation of China. His collaborations with enterprises and regional organizations highlight his role as a pioneer in agricultural robotics and recycling technologies.

Research Interests ๐Ÿ”ฌ

Dr. Chenโ€™s primary research areas include:

  • Recycling Agricultural Technology ๐ŸŒพ
  • Agricultural Picking Robots ๐Ÿค–
  • Intelligent Agricultural Equipment โš™๏ธ

His work integrates advanced robotics with eco-friendly solutions to improve agricultural efficiency and sustainability.

Awards ๐Ÿ†

Dr. Chen has been recognized as a Tianchi Young Doctoral Talent and a High-Level Introduced Talent by Xinjiang University. His accolades reflect his significant contributions to intelligent agricultural systems and sustainable technologies.

Publications Top Notes:๐Ÿ“š

Dr. Xiaokang Chen has authored 10 peer-reviewed publications in high-impact journals. Below are key examples:

“Design and Optimization of Agricultural Picking Robots” (2023) – Agriculture, DOI: 10.3390/agriculture14122120, cited by 15 articles.

“Advances in Recycling Agricultural Technologies” (2022) – Journal of Intelligent Manufacturing Systems, cited by 10 articles.

“Development of Multifunctional Robotic Arms for Agriculture” (2021) – Sustainable Robotics, cited by 8 articles.