Student Projects

Mahidol Wittayanusorn School: YOEDO and durian leaf disease detection

Suphanat Kladsaard, Pakorn Wongaroon and Nachanon Krinchai developed YOLO-OBB models for durian leaf disease detection and the YOEDO mobile application. Co-supervised with Dr. Sittichoke Som-am and Dr. Thawatchai Sudjai.

Outputs: YOEDO app on Google Play, a full paper accepted at ITC-CSCC 2026, a paper in the Proceedings of the 30th Annual Meeting in Mathematics (AMM 2026), and the Best Presentation award at the MWIT Science Festival & Open House 2026.

Mahidol Wittayanusorn School: temporal leakage in durian detection data

Kunanon Khailoukum, Taptat Anantsuwanchai and Kongpop Raksatham quantified and corrected temporal leakage in a video-derived durian detection and counting dataset. Output: preprint on SSRN, October 2026.

Jakkrapan Sreekajon: weather dashboard and irrigation decision support

Information Technology and Data Science, Faculty of Science and Arts, Burapha University. Developed the Weather Forecast Dashboard and irrigation decision support systems based on VPD, ETo and crop coefficients. Outputs: papers at IBDAP 2024 and ISRITI 2025, and an article in the Indonesian Journal of Electrical Engineering and Informatics (2026).

Chatdanai Roothan: durian fruit detection and price prediction

Data Science and Data Analytics, Faculty of Science, Burapha University. Worked on aerial detection of durian fruit with YOLOv11n and UAV imagery, and on a machine learning pipeline for durian price prediction (ECTI-CON 2025).

Sirawit Wongjeam: crop evapotranspiration forecasting

Data Science and Data Analytics, Faculty of Science, Burapha University. Developed Transformer models for hourly crop evapotranspiration estimation. Outputs: an article in AgriEngineering (2026) and a review paper at ECTI-CON 2026.