Narmilan is a current PhD candidate at the School of Electrical Engineering and Robotics, Faculty of Engineering of the Queensland University of Technology. Narmilan completed double bachelor’s degrees, receiving a Bachelor’s in Agricultural Science (BSc Agri. (Hons.)) in Eastern University, Sri Lanka, and Bachelor’s in Information Technology (BIT) at the University of Colombo, Sri Lanka. He holds an MSc in Agriculture from Eastern University, Sri Lanka. His current PhD research is focused on the health monitoring of sugarcane crops using UAVs, advanced sensors, and artificial intelligence. The aim of this research is to develop an AI framework to estimate the chlorophyll content and identify the pest and disease incidents in the sugarcane fields.
- PhD Scholarship from Accelerating Higher Education Expansion and Development (AHEAD) and QUT
- Health monitoring of sugarcane crops using UAV, advanced sensors, and AI
- Precision Agriculture
- Remote Sensing
- Multispectral image processing
- Unmanned aerial vehicles.
- Biosystems Engineering
Google Scholar: https://scholar.google.com/citations?user=WVa3U6kAAAAJ&hl=en
- Narmilan, A.; Gonzalez, F.; Salgadoe, A.S.A.; Kumarasiri, U.W.L.M.; Weerasinghe, H.A.S.; Kulasekara, B.R. (2022) Predicting Canopy Chlorophyll Content in Sugarcane Crops Using Machine Learning Algorithms and Spectral Vegetation Indices Derived from UAV Multispectral Imagery. Remote Sensing
- Narmilan, A. S. Ashan Salgadoe, K. Powell, L. F. Gonzalez, and S. Natarajan (2022) A review of UAV platforms, sensors, and applications for monitoring of sugarcane crops. Remote Sensing Applications: Society and Environment