Dong-A University Develops AI-Based Shrimp Growth Optimization Model... Wins 'Best Paper Award' at Korean Society of Industrial Information Conference

The team led by Professor Minho Ryu from the Department of Management Information Systems at Dong-A University (President Lee Haewoo) recently received the Best Paper Award at the '2025 Spring Conference of the Korean Society of Industrial Information'.

Professor Minho Ryu's team from the Department of Management Information Systems at Dong-A University received the Best Paper Award at the '2025 Spring Conference of the Korean Society of Industrial Information' and is taking a commemorative photo. Provided by Dong-A University

This academic conference, held under the theme 'Generative AI and Industrial Convergence', took place at Dong-A University's Bumin Campus from May 22 to May 24. The event was hosted by the Korean Society of Industrial Information and organized by Dong-A University's BK21 'Educational Team for Gerontechnology Service Development for Super-Aged Local Communities'.

Professor Ryu's team was recognized for the industrial applicability of their research, titled 'Development of an Optimization Model for Feed Amount and Shipping Time by Inferring Growth Stages of Whiteleg Shrimp Based on Deep Learning'.

Previous studies on shrimp growth analysis focused on predicting weight using various image-based indicators such as area, perimeter, curvature, and length. Professor Ryu's team took it a step further by setting the actual measured length as a dependent variable and aligning the 'image-based estimated length'?one of the input variables?with physical units, significantly enhancing the model's consistency and robustness.

The actual measured length is expected to enable automatic labeling in the future, which could improve data collection efficiency and expand the model's applicability to the smart aquaculture industry.

Shin Geonyul, a master's student who co-authored the paper, said, "I am pleased that our new research model can be applied in real industrial settings."

Professor Minho Ryu stated, "It is meaningful to receive positive evaluations not only for academic achievement but also for practical applicability."

A special session titled 'Generative AI and Gerontechnology' was also held during the conference, organized by the BK21 Educational Team from the Department of Management Information Systems at Dong-A University.

During this session, four research findings were presented: ▲Explainable Healthcare System for the Elderly ▲Analysis of Changes in Quality of Life for the Elderly Due to COVID-19 Emergency Relief Funds ▲Analysis of Korean Elderly Welfare Policy ▲Offline Channel Strategies for Banks Considering Senior Characteristics. These studies highlighted the potential applications of generative AI technologies in an aging society.

A Dong-A University official stated, "We plan to continuously strengthen our research capabilities in deep learning and AI-based industrial convergence to accelerate practical collaboration and performance outcomes with the industry."

This content was produced with the assistance of AI translation services.