Modelling trickle irrigation: Comparison of analytical and numerical models for estimation of wetting front position with time. - Freeman J. Cook; Peter Fitch; Peter J. Thorburn; P. B. Charlesworth; K. L. Bristow (Environ. Model. Softw., 2006)

APSIM - Evolution towards a new generation of agricultural systems simulation. - Dean P. Holzworth; Neil I. Huth; Peter G. de Voil; Eric J. Zurcher; Neville I. Herrmann; Greg McLean; Karine Chenu; Erik J. van Oosterom; Valerie O. Snow; Chris Murphy; Andrew D. Moore; Hamish E. Brown; et al. (Environ. Model. Softw., 2014)

The error in agricultural systems model prediction depends on the variable being predicted. - Daniel Wallach 001; Peter J. Thorburn (Environ. Model. Softw., 2014)

Thematic issue on agricultural systems modelling and software - Part II. - Ioannis N. Athanasiadis; Sander Janssen; Dean P. Holzworth; Peter J. Thorburn; Marcello Donatelli; Valerie O. Snow; Gerrit Hoogenboom; Jeffrey W. White (Environ. Model. Softw., 2015)

Agricultural production systems modelling and software: Current status and future prospects. - Dean P. Holzworth; Val Snow; Sander Janssen; Ioannis N. Athanasiadis; Marcello Donatelli; Gerrit Hoogenboom; Jeffrey W. White; Peter J. Thorburn (Environ. Model. Softw., 2015)

Analysis and classification of data sets for calibration and validation of agro-ecosystem models. - Kurt Christian Kersebaum; Kenneth J. Boote; J. S. Jorgenson; Claas Nendel; Marco Bindi; C. Frühauf; Thomas Gaiser; Gerrit Hoogenboom; C. Kollas; Jørgen Eivind Olesen; Reimund P. Rötter; Françoise Ruget; et al. (Environ. Model. Softw., 2015)

Sugarcane model intercomparison: Structural differences and uncertainties under current and potential future climates. - Fábio Ricardo Marin; Peter J. Thorburn; Daniel Silveira Pinto Nassif; Leandro G. Costa (Environ. Model. Softw., 2015)

Calibration of the phenology sub-model of APSIM-Oryza: Going beyond goodness of fit. - Sarath P. Nissanka; Asha S. Karunaratne; Ruchika Perera; W. M. W. Weerakoon; Peter J. Thorburn; Daniel Wallach 001 (Environ. Model. Softw., 2015)

Simple approach to emulating complex computer models for global sensitivity analysis. - Bryan Stanfill; Henrike Mielenz; David Clifford; Peter J. Thorburn (Environ. Model. Softw., 2015)

Multi-wheat-model ensemble responses to interannual climate variability. - Alex C. Ruane; Nicholas I. Hudson; Senthold Asseng; Davide Camarrano; Frank Ewert; Pierre Martre; Kenneth J. Boote; Peter J. Thorburn; Pramod K. Aggarwal; Carlos Angulo; Bruno Basso; Patrick Bertuzzi; et al. (Environ. Model. Softw., 2016)

Estimating model prediction error: Should you treat predictions as fixed or random? - Daniel Wallach 001; Peter J. Thorburn; Senthold Asseng; Andrew J. Challinor; Frank Ewert; James W. Jones; Reimund P. Rötter; Alex C. Ruane (Environ. Model. Softw., 2016)

Deep Learning - a New Approach for Multi-Label Scene Classification in Planetscope and Sentinel-2 Imagery. - Iurii Shendryk; Yannik Rist; Rob Lucas; Peter J. Thorburn; Catherine Ticehurst (IGARSS, 2018)

Multi-task Temporal Convolutional Network for Predicting Water Quality Sensor Data. - Yi-Fan Zhang 008; Peter J. Thorburn; Peter Fitch (ICONIP (4), 2019)

SSIM - A Deep Learning Approach for Recovering Missing Time Series Sensor Data. - Yi-Fan Zhang 008; Peter J. Thorburn; Wei Xiang 001; Peter Fitch (IEEE Internet Things J., 2019)

A Satellite-Based Methodology for Harvest Date Detection and Yield Prediction in Sugarcane. - Yuri Shendryk; Lecheng Pan; Matthew Craigie; Mattia Stasolla; Catherine Ticehurst; Peter J. Thorburn (IGARSS, 2020)

Fine-scale prediction of biomass and leaf nitrogen content in sugarcane using UAV LiDAR and multispectral imaging. - Yuri Shendryk; Jeremy Sofonia; Robert Garrard; Yannik Rist; Danielle Skocaj; Peter J. Thorburn (Int. J. Appl. Earth Obs. Geoinformation, 2020)

1622WQ: A web-based application to increase farmer awareness of the impact of agriculture on water quality. - Maria P. Vilas; Peter J. Thorburn; Simon Fielke; Tony Webster; Martijn Mooij; Jody S. Biggs; Yi-Fan Zhang 008; Adam Adham; Aaron Davis; Bertrand Dungan; Roger Butler; Peter Fitch (Environ. Model. Softw., 2020)

A dual-head attention model for time series data imputation. - Yi-Fan Zhang 008; Peter J. Thorburn (Comput. Electron. Agric., 2021)

Crop2ML: An open-source multi-language modeling framework for the exchange and reuse of crop model components. - Cyrille Ahmed Midingoyi; Christophe Pradal; Andreas Enders; Davide Fumagalli; Hélène Raynal; Marcello Donatelli; Ioannis N. Athanasiadis; Cheryl H. Porter; Gerrit Hoogenboom; Dean P. Holzworth; Frédérick Garçia; Peter J. Thorburn; et al. (Environ. Model. Softw., 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)

A deep surrogate model with spatio-temporal awareness for water quality sensor measurement. - Yi-Fan Zhang 008; Peter J. Thorburn (Expert Syst. Appl., 2022)

Handling missing data in near real-time environmental monitoring: A system and a review of selected methods. - Yi-Fan Zhang 008; Peter J. Thorburn (Future Gener. Comput. Syst., 2022)

SciHarvester: Searching Scientific Documents for Numerical Values. - Maciej Rybinski; Stephen Wan 001; Sarvnaz Karimi; Cécile Paris; Brian Jin; Neil I. Huth; Peter J. Thorburn; Dean P. Holzworth (SIGIR, 2023)

A calibration protocol for soil-crop models. - Daniel Wallach 001; Samuel Buis; Diana-Maria Seserman; Taru Palosuo; Peter J. Thorburn; Henrike Mielenz; Eric Justes; Kurt Christian Kersebaum; Benjamin Dumont; Marie Launay; Sabine J. Seidel (Environ. Model. Softw., 2024)