Zvi Hochman
Zvi Hochman
Chief Research Scientist, CSIRO, Agriculture and Food
Verified email at
Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Data rich yield gap analysis of wheat in Australia
Z Hochman, D Gobbett, H Horan, JN Garcia
Field Crops Research 197, 97-106, 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
Probing the enigma of the decision support system for farmers: learning from experience and from theory
RL McCown, Z Hochman, PS Carberry
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
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