Zvi Hochman

发表

The Co-Evolution of the Agricultural Production Systems Simulator (APSIM) and Its Use in Australian Dryland Cropping Research and Farm Management Intervention

Robert L. McCown, Brian Keating, Peter Carberry, 2016 .

APSIM - Evolution towards a new generation of agricultural systems simulation

Chris Murphy, Frank Y. Li, Valerie O. Snow, 2014, Environ. Model. Softw..

An overview of APSIM, a model designed for farming systems simulation

Senthold Asseng, Holger Meinke, Enli Wang, 2003 .

Needle in a haystack: Mapping rare and infrequent crops using satellite imagery and data balancing methods

Yang Chen, François Waldner, Zvi Hochman, 2019, Remote Sensing of Environment.

Beyond the plot: technology extrapolation domains for scaling out agronomic science

Zvi Hochman, Patricio Grassini, Juan I Rattalino Edreira, 2018, Environmental research letters : ERL [Web site].

Bridging the yield gap - how much are we leaving behind? Environmentally achievable yields vs actual yields

Glen Osmond, David Gobbett, Zvi Hochman, 2014 .

X-Breed: a multiple-domain knowledge based system integrated through a blackboard architecture

Zvi Hochman, H. Hearnshaw, R. Barlow, 1995 .

FARMSCAPE online: Participatory design of internet meetings with farmers

Margot Brereton, Stefanie Kethers, Zvi Hochman, 2004 .

The Co-Evolution of the Agricultural Production Systems Simulator (APSIM) and Its Use in Australian Dryland Cropping Research and Farm Management Intervention

Brian Keating, Zvi Hochman, D. M. G. Hargreaves, 2016 .

All pixels are useful, but some are more useful: Efficient in situ data collection for crop-type mapping using sequential exploration methods

François Waldner, Zvi Hochman, Jared Fowler, 2020, Int. J. Appl. Earth Obs. Geoinformation.

A multiple domain expert system for beef cattle farmers

Roger Barlow, Zvi Hochman, Craig J. Pearson, 1991 .

A multiple-domain knowledge based system: Coordination and integration of agronomic and economic knowledge bases with databases and bio-economic models

Robert J. Farquharson, Zvi Hochman, Craig J. Pearson, 1995 .

If interactive decision support systems are the answer, have we been asking the right questions?

Zvi Hochman, Pj Stone, Z. Hochman, 2004 .

Roadside collection of training data for cropland mapping is viable when environmental and management gradients are surveyed

Nataliia Kussul, Serhiy Skakun, Pierre Defourny, 2019, Int. J. Appl. Earth Obs. Geoinformation.

Combining Fractional Cover Images with One-Class Classifiers Enables Near Real-Time Monitoring of Fallows in the Northern Grains Region of Australia

Peter Scarth, François Waldner, Zvi Hochman, 2020, Remote. Sens..

How well do crop modeling groups predict wheat phenology, given calibration data from the target population?

Qi Jing, Eric Justes, Kurt Christian Kersebaum, 2021 .

The chaos in calibrating crop models: Lessons learned from a multi-model calibration exercise

Qi Jing, Eric Justes, Kurt Christian Kersebaum, 2021, Environ. Model. Softw..

Multi-model evaluation of phenology prediction for wheat in Australia

Qi Jing, Eric Justes, Kurt Christian Kersebaum, 2021 .

Estimating wheat yields in Australia using climate records, satellite image time series and machine learning methods

François Waldner, Zvi Hochman, Z. Hochman, 2020 .

Modeling acidification processes in agricultural systems.

Andrew D. Moore, Zvi Hochman, Richard J. Simpson, 2003 .

Effect of water stress with phasic development on yield of wheat grown in a semi-arid environment

Zvi Hochman, Z. Hochman, 1982 .

Commercially available wheat cultivars are broadly adapted to location and time of sowing in Australia’s grain zone

Zvi Hochman, Roger Lawes, Z. Hochman, 2016 .

Users' attitudes and roles in the development and evaluation of knowledge based decision support systems for agricultural advisers

Zvi Hochman, Craig J. Pearson, Z. Hochman, 1994 .

Crop sequences in Australia’s northern grain zone are less agronomically efficient than implied by the sum of their parts

Peter Carberry, Zvi Hochman, Di Prestwidge, 2014 .

Contributions of soil and crop factors to plant available soil water capacity of annual crops on Black and Grey Vertosols

Zvi Hochman, Z. Hochman, N. Dalgliesh, 2001 .

Probing the enigma of the decision support system for farmers: Learning from experience and from theory

Zvi Hochman, P. S. Carberry, P. Carberry, 2002 .

Prospects for ecological intensification of Australian agriculture

Michael Robertson, Zvi Hochman, Lindsay W. Bell, 2013 .

APSIM in the marketplace : a tale of kitchen tables, boardrooms and courtrooms

Zvi Hochman, Lisa E. Brennan, P. S. Carberry, 2001 .

How well do crop modeling groups predict wheat phenology, given calibration data from the target population?

Yan Zhu, Qi Jing, Eric Justes, 2019, European Journal of Agronomy.

High temporal resolution of leaf area data improves empirical estimation of grain yield

François Waldner, Zvi Hochman, Heidi Horan, 2019, Scientific Reports.

Farmers use intuition to reinvent analytic decision support for managing seasonal climatic variability

Peter Carberry, Zvi Hochman, M. A. Foale, 2012 .

Diagnosis, extent, impacts, and management of subsoil constraints in the northern grains cropping region of Australia

Robert J. Farquharson, William Manning, R. Routley, 2010 .

Data rich yield gap analysis of wheat in Australia

David Gobbett, Zvi Hochman, Heidi Horan, 2016 .

Evaluation of an expert system on crossbreeding beef cattle

Zvi Hochman, Craig J. Pearson, Z. Hochman, 1991 .

Using Seasonal Climate Forecasts to Manage Dryland Crops in Northern Australia — Experiences from the 1997/98 Seasons

Holger Meinke, Zvi Hochman, H. Meinke, 2000 .

Quantifying the economic impact of soil constraints on Australian agriculture: A case‐study of wheat

Thomas G. Orton, Zvi Hochman, Neal W. Menzies, 2018, Land Degradation & Development.

How well do crop models predict phenology, with emphasis on the effect of calibration?

Qi Jing, Eric Justes, Kurt Christian Kersebaum, 2019, bioRxiv.

Causes of wheat yield gaps and opportunities to advance the water-limited yield frontier in Australia

Zvi Hochman, Heidi Horan, Z. Hochman, 2018, Field Crops Research.