The project aims to address current rubber outbreaks in top-producing countries, which have caused leaves to drop and reduced yield. We used remote sensing data for time-series monitoring of these diseases. Further, the data will be analysed and utilised to develop a disease detection system for rubber to improve plantation management.

Project members

Fathin Ayuni Azizan

PHD candidate
School of Agriculture and Food Science