Jeong In-won, a master's student in the Department of Agricultural and Food Convergence at Jeonbuk National University (supervised by Professor Kim So-ra), is gaining attention for his research achievements in automatically classifying the Stathmopodidae moth using artificial intelligence (AI).

Jeong's research recently won the Best Poster Award in the poster category at the '2025 Joint Spring Academic Conference of the Korean Entomological Society and the Korean Applied Entomological Society,' receiving high praise.

The Stathmopodidae moth is known as a pest that damages some crops and as a predator that feeds on aphids, making accurate species differentiation crucial. However, the small size and similar morphology of the adult moths posed challenges in traditional classification methods.

As a master's student, Jeong established a dataset based on images of the forewings of species inhabiting the Korean Peninsula at the Insect Phylogeny and Evolution Research Lab. He proposed a system that automatically detects and identifies species using the object detection algorithm 'YOLO.' This research was highly evaluated for surpassing the limitations of existing AI technology, which previously only focused on identification, by enabling classification of similar species.

Jeong In-won expressed his gratitude, stating, "The support of Professor Kim So-ra and my research lab colleagues was a great source of strength," and added, "I will continue to advance AI-based monitoring technologies in the fields of ecology and agriculture."