A tool for monitoring soil water using modelling, on-farm data, and mobile technology. - David M. Freebairn; Afshin Ghahramani; J. Brett Robinson; David J. McClymont (Environ. Model. Softw., 2018)

A pragmatic parameterisation and calibration approach to model hydrology and water quality of agricultural landscapes and catchments. - Afshin Ghahramani; David M. Freebairn; Dipaka R. Sena; Justin L. Cutajar; David M. Silburn (Environ. Model. Softw., 2020)

Deep Multi-Stage Reference Evapotranspiration Forecasting Model: Multivariate Empirical Mode Decomposition Integrated With the Boruta-Random Forest Algorithm. - W. J. M. Lakmini Prarthana Jayasinghe; Ravinesh C. Deo; Afshin Ghahramani; Sujan Ghimire; Nawin Raj (IEEE Access, 2021)

The chaos in calibrating crop models: Lessons learned from a multi-model calibration exercise. - Daniel Wallach 001; Taru Palosuo; Peter J. Thorburn; Zvi Hochman; Emmanuelle Gourdain; Fety Andrianasolo; Senthold Asseng; Bruno Basso; Samuel Buis; Neil Crout; Camilla Dibari; Benjamin Dumont; et al. (Environ. Model. Softw., 2021)

Deep Learning Forecasts of Soil Moisture: Convolutional Neural Network and Gated Recurrent Unit Models Coupled with Satellite-Derived MODIS, Observations and Synoptic-Scale Climate Index Data. - Abul Abrar Masrur Ahmed; Ravinesh C. Deo; Nawin Raj; Afshin Ghahramani; Qi Feng; Zhenliang Yin; Linshan Yang (Remote. Sens., 2021)