An Android application that detects durian leaf diseases in real time with a YOLO model using oriented bounding boxes. The app works offline in the orchard and records disease statistics for each survey. Developed with students of Mahidol Wittayanusorn School.
Google Play: https://play.google.com/store/apps/details?id=com.cateatmars_dev.yoedodurian
Preprint: https://doi.org/10.13140/RG.2.2.26084.13444
A web dashboard that shows hourly VPD, ETo, temperature, relative humidity, solar radiation and wind speed by province and district in Thailand. Developed by Jakkrapan Sreekajon.
Web app: https://weather-31ba2.web.app/dashboard
An IoT system that monitors orchard conditions and lets durian growers control irrigation through a chatbot. Hourly VPD forecasts from an LSTM model support irrigation decisions.
Papers: https://doi.org/10.1007/s43926-025-00227-0 and https://doi.org/10.1007/s43621-025-02538-2
A real-time dashboard for a durian orchard in Chanthaburi with a live camera view, weather data (air temperature, humidity, rainfall, light, wind speed and VPD) and soil sensor data (temperature, moisture at 15 and 30 cm, EC, pH, nitrogen, phosphorus and potassium), with graphs for each zone.
Live dashboard: http://203.185.101.203/ChanVR02/main/