An overview of APSIM, a model designed for farming systems simulation BA Keating, PS Carberry, GL Hammer, ME Probert, MJ Robertson, ... European journal of agronomy 18 (3-4), 267-288, 2003 | 3177 | 2003 |
Yield gap analysis with local to global relevance—a review MK Van Ittersum, KG Cassman, P Grassini, J Wolf, P Tittonell, Z Hochman Field Crops Research 143, 4-17, 2013 | 1704 | 2013 |
APSIM–evolution towards a new generation of agricultural systems simulation DP Holzworth, NI Huth, PG deVoil, EJ Zurcher, NI Herrmann, G McLean, ... Environmental Modelling & Software 62, 327-350, 2014 | 1519 | 2014 |
The FARMSCAPE approach to decision support: farmers', advisers', researchers' monitoring, simulation, communication and performance evaluation PS Carberry, Z Hochman, RL McCown, NP Dalgliesh, MA Foale, ... Agricultural systems 74 (1), 141-177, 2002 | 357 | 2002 |
Climate trends account for stalled wheat yields in Australia since 1990 Z Hochman, DL Gobbett, H Horan Global change biology 23 (5), 2071-2081, 2017 | 281 | 2017 |
Evaluation of the APSIM model in cropping systems of Asia DS Gaydon, E Wang, PL Poulton, B Ahmad, F Ahmed, S Akhter, I Ali, ... Field Crops Research 204, 52-75, 2017 | 203 | 2017 |
The future of farming: Who will produce our food? KE Giller, T Delaune, JV Silva, K Descheemaeker, G van de Ven, ... Food Security 13 (5), 1073-1099, 2021 | 190 | 2021 |
Prospects for ecological intensification of Australian agriculture Z Hochman, PS Carberry, MJ Robertson, DS Gaydon, LW Bell, ... European Journal of Agronomy 44, 109-123, 2013 | 185 | 2013 |
Reprint of “Quantifying yield gaps in rainfed cropping systems: A case study of wheat in Australia” Z Hochman, D Gobbett, D Holzworth, T McClelland, H van Rees, ... Field Crops Research 143, 65-75, 2013 | 184 | 2013 |
Re-inventing model-based decision support with Australian dryland farmers. 4. Yield ProphetŪ helps farmers monitor and manage crops in a variable climate Z Hochman, H Van Rees, PS Carberry, JR Hunt, RL McCown, ... Crop and Pasture Science 60 (11), 1057-1070, 2009 | 182 | 2009 |
Estimating wheat yields in Australia using climate records, satellite image time series and machine learning methods E Kamir, F Waldner, Z Hochman ISPRS Journal of Photogrammetry and Remote Sensing 160, 124-135, 2020 | 180 | 2020 |
Potential to improve on-farm wheat yield and WUE in Australia Z Hochman, D Holzworth, JR Hunt Crop and Pasture Science 60 (8), 708-716, 2009 | 164 | 2009 |
Causes of wheat yield gaps and opportunities to advance the water-limited yield frontier in Australia Z Hochman, H Horan Field Crops Research 228, 20-30, 2018 | 131 | 2018 |
Strategies to improve the productivity, product diversity and profitability of urban agriculture CA O'sullivan, GD Bonnett, CL McIntyre, Z Hochman, AP Wasson Agricultural Systems 174, 133-144, 2019 | 127 | 2019 |
Re-inventing model-based decision support with Australian dryland farmers. 3. Relevance of APSIM to commercial crops PS Carberry, Z Hochman, JR Hunt, NP Dalgliesh, RL McCown, ... Crop and pasture science 60 (11), 1044-1056, 2009 | 123 | 2009 |
Scope for improved eco-efficiency varies among diverse cropping systems PS Carberry, W Liang, S Twomlow, DP Holzworth, JP Dimes, ... Proceedings of the National Academy of Sciences 110 (21), 8381-8386, 2013 | 120 | 2013 |
Data rich yield gap analysis of wheat in Australia Z Hochman, D Gobbett, H Horan, JN Garcia Field Crops Research 197, 97-106, 2016 | 119 | 2016 |
Re-inventing model-based decision support with Australian dryland farmers. 1. Changing intervention concepts during 17 years of action research RL McCown, PS Carberry, Z Hochman, NP Dalgliesh, MA Foale Crop and Pasture Science 60 (11), 1017-1030, 2009 | 118 | 2009 |
Probing the enigma of the decision support system for farmers: learning from experience and from theory RL McCown, Z Hochman, PS Carberry | 117 | 2002 |
Emerging consensus on desirable characteristics of tools to support farmers’ management of climate risk in Australia Z Hochman, PS Carberry Agricultural Systems 104 (6), 441-450, 2011 | 110 | 2011 |