Predicting Canopy Chlorophyll Content in Sugarcane Crops Using Machine Learning Algorithms and Spectral Vegetation Indices Derived from UAV Multispectral Imagery. - Amarasingam Narmilan; Felipe Gonzalez; Arachchige Surantha Ashan Salgadoe; Unupen Widanelage Lahiru Madhushanka Kumarasiri; Hettiarachchige Asiri Sampageeth Weerasinghe; Buddhika Rasanjana Kulasekara (Remote. Sens., 2022)

Detection of White Leaf Disease in Sugarcane Crops Using UAV-Derived RGB Imagery with Existing Deep Learning Models. - Amarasingam Narmilan; Felipe Gonzalez; Arachchige Surantha Ashan Salgadoe; Juan Sandino; Kevin S. Powell (Remote. Sens., 2022)

Autonomous Detection of Mouse-Ear Hawkweed Using Drones, Multispectral Imagery and Supervised Machine Learning. - Amarasingam Narmilan; Mark Hamilton; Jane E. Kelly; Lihong Zheng; Juan Sandino; Felipe Gonzalez; Remy L. Dehaan; Hillary Cherry (Remote. Sens., 2023)

Monitoring of Antarctica's Fragile Vegetation Using Drone-Based Remote Sensing, Multispectral Imagery and AI. - Damini Raniga; Amarasingam Narmilan; Juan Sandino; Ashray Doshi; Johan Barthélemy; Krystal Randall; Sharon A. Robinson; Felipe Gonzalez; Barbara Bollard (Sensors, 2024)

Integrating Artificial Intelligence and UAV-Acquired Multispectral Imagery for the Mapping of Invasive Plant Species in Complex Natural Environments. - Amarasingam Narmilan; Fernando Vanegas; Melissa Hele; Angus Warfield; Felipe Gonzalez (Remote. Sens., 2024)

African Lovegrass Segmentation with Artificial Intelligence Using UAS-Based Multispectral and Hyperspectral Imagery. - Pirunthan Keerthinathan; Amarasingam Narmilan; Jane E. Kelly; Nicolas Mandel; Remy L. Dehaan; Lihong Zheng; Grant Hamilton; Felipe Gonzalez (Remote. Sens., 2024)

Mapping of insect pest infestation for precision agriculture: A UAV-based multispectral imaging and deep learning techniques. - Amarasingam Narmilan; Kevin S. Powell; Juan Sandino; Dmitry Bratanov; Arachchige Surantha Ashan Salgadoe; Felipe Gonzalez (Int. J. Appl. Earth Obs. Geoinformation, 2025)

Detection and mapping of Antarctic lichen using drones, multispectral cameras, and supervised deep learning. - Amarasingam Narmilan; Juan Sandino; Ashray Doshi; Diana H. King; Elka Blackman; Johan Barthélemy; Barbara Bollard; Sharon A. Robinson; Felipe Gonzalez (Int. J. Appl. Earth Obs. Geoinformation, 2025)