The Fusion of Spectral and Structural Datasets Derived from an Airborne Multispectral Sensor for Estimation of Pasture Dry Matter Yield at Paddock Scale with Time. - Senani Karunaratne; Anna Thomson; Elizabeth Morse-McNabb; Jayan Wijesingha; Dani Stayches; Amy Copland; Joe Jacobs (Remote. Sens., 2020)

Machine Learning Algorithms to Predict Forage Nutritive Value of In Situ Perennial Ryegrass Plants Using Hyperspectral Canopy Reflectance Data. - Chaya Smith; Senani Karunaratne; Pieter Badenhorst; Noel Cogan; German C. Spangenberg; Kevin F. Smith (Remote. Sens., 2020)

Multi-site calibration and validation of a wide-angle ultrasonic sensor and precise GPS to estimate pasture mass at the paddock scale. - A. R. Lawson; K. Giri; Anna Thomson; Senani Karunaratne; Kevin F. Smith; Joe Jacobs; Elizabeth Morse-McNabb (Comput. Electron. Agric., 2022)

A Multi-Variable Sentinel-2 Random Forest Machine Learning Model Approach to Predicting Perennial Ryegrass Biomass in Commercial Dairy Farms in Southeast Australia. - Elizabeth Morse-McNabb; Md. Farhad Hasan; Senani Karunaratne (Remote. Sens., 2023)