Determining Uncertainty Prediction Map of Copper Concentration in Pasture from Hyperspectral Data Using Qunatile Regression Forest. - Rajasheker Reddy Pullanagari; Gabor Kereszturi; Ian J. Yule; Matthew Irwin (IGARSS, 2018)

Evaluation of Point Hyperspectral Reflectance and Multivariate Regression Models for Grapevine Water Status Estimation. - Hsiang-En Wei; Miles Grafton; Michael Bretherton; Matthew Irwin; Eduardo Sandoval (Remote. Sens., 2021)

Evaluation of the Use of UAV-Derived Vegetation Indices and Environmental Variables for Grapevine Water Status Monitoring Based on Machine Learning Algorithms and SHAP Analysis. - Hsiang-En Wei; Miles Grafton; Michael Bretherton; Matthew Irwin; Eduardo Sandoval (Remote. Sens., 2022)

Assessing the Leaf Blade Nutrient Status of Pinot Noir Using Hyperspectral Reflectance and Machine Learning Models. - Hongyi Lyu; Miles Grafton; Thiagarajah Ramilan; Matthew Irwin; Eduardo Sandoval (Remote. Sens., 2023)

Using Remote and Proximal Sensing Data and Vine Vigor Parameters for Non-Destructive and Rapid Prediction of Grape Quality. - Hongyi Lyu; Miles Grafton; Thiagarajah Ramilan; Matthew Irwin; Hsiang-En Wei; Eduardo Sandoval (Remote. Sens., 2023)

Hyperspectral Imaging Spectroscopy for Non-Destructive Determination of Grape Berry Total Soluble Solids and Titratable Acidity. - Hongyi Lyu; Miles Grafton; Thiagarajah Ramilan; Matthew Irwin; Eduardo Sandoval (Remote. Sens., 2024)

Synthetic hyperspectral reflectance data augmentation by generative adversarial network to enhance grape maturity determination. - Hongyi Lyu; Miles Grafton; Thiagarajah Ramilan; Matthew Irwin; Eduardo Sandoval (Comput. Electron. Agric., 2025)