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

ISPRS journal of photogrammetry and remote sensing, 2020-02, Vol.160, p.124-135

2020

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Seasonal climate forecasts provide more definitive and accurate crop yield predictions

Agricultural and forest meteorology, 2018-10, Vol.260-261, p.247-254

2018

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

International journal of applied earth observation and geoinformation, 2020-09, Vol.91, p.102114, Article 102114

2020

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Design of sustainable dryland crop rotations require value judgements and efficient trade-offs

Environmental research letters, 2021-06, Vol.16 (6), p.64067

2021

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

Field crops research, 2018-11, Vol.228, p.20-30

2018

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

Environmental research letters, 2018-01, Vol.13 (5), p.054027-054027

2018

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Scope for improved eco-efficiency varies among diverse cropping systems

Proceedings of the National Academy of Sciences - PNAS, 2013-05, Vol.110 (21), p.8381-8386

2013

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

Remote sensing (Basel, Switzerland), 2020-04, Vol.12 (8), p.1337

2020

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Climate trends account for stalled wheat yields in Australia since 1990

Global change biology, 2017-05, Vol.23 (5), p.2071-2081

2017

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

Remote sensing of environment, 2019-11, Vol.233, p.111375, Article 111375

2019

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Yield gap analysis with local to global relevance—A review

Field crops research, 2013-03, Vol.143, p.4-17

2013

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

Scientific reports, 2019-10, Vol.9 (1), p.15714-14, Article 15714

2019

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Evaluation of nitrogen bank, a soil nitrogen management strategy for sustainably closing wheat yield gaps

Field crops research, 2021-02, Vol.261, p.108017, Article 108017

2021

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Data rich yield gap analysis of wheat in Australia

Field crops research, 2016-10, Vol.197, p.97-106

2016

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Assessment of the sustainability of different cropping systems under three irrigation strategies in the North China Plain under climate change

Agricultural systems, 2020-02, Vol.178, p.102745, Article 102745

2020

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Improving early-season wheat yield forecasts driven by probabilistic seasonal climate forecasts

Agricultural and forest meteorology, 2022-03, Vol.315, p.108832, Article 108832

2022

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Data fusion using climatology and seasonal climate forecasts improves estimates of Australian national wheat yields

Agricultural and forest meteorology, 2022-06, Vol.320, p.108932, Article 108932

2022

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Yield potential determines Australian wheat growers’ capacity to close yield gaps while mitigating economic risk

Agronomy for sustainable development, 2019, Vol.39 (6), Article 49

2019

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Global priorities of environmental issues to combat food insecurity and biodiversity loss

The Science of the total environment, 2020-08, Vol.730, p.139096-139096, Article 139096

2020

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The future of farming: Who will produce our food?

Food security, 2021-10, Vol.13 (5), p.1073-1099

2021

Volltextzugriff (PDF)

Vertical farms bear fruit

Nature biotechnology, 2020-02, Vol.38 (2), p.160-162

2020

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APSIM – Evolution towards a new generation of agricultural systems simulation

Environmental modelling & software : with environment data news, 2014-12, Vol.62, p.327-350

2014

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Leading farmers in South East Australia have closed the exploitable wheat yield gap: Prospects for further improvement

Field crops research, 2014-08, Vol.164, p.1-11

2014

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Cropping system yield gaps can be narrowed with more optimal rotations in dryland subtropical Australia

Agricultural systems, 2020-09, Vol.184, p.102896, Article 102896

2020

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

Agricultural systems, 2014-07, Vol.129, p.124-132

2014

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

Seasonal climate forecasts provide more definitive and accurate crop yield predictions

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

Design of sustainable dryland crop rotations require value judgements and efficient trade-offs

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

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

Scope for improved eco-efficiency varies among diverse cropping systems

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

Climate trends account for stalled wheat yields in Australia since 1990

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

Yield gap analysis with local to global relevance—A review

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

Evaluation of nitrogen bank, a soil nitrogen management strategy for sustainably closing wheat yield gaps

Data rich yield gap analysis of wheat in Australia

Assessment of the sustainability of different cropping systems under three irrigation strategies in the North China Plain under climate change

Improving early-season wheat yield forecasts driven by probabilistic seasonal climate forecasts

Data fusion using climatology and seasonal climate forecasts improves estimates of Australian national wheat yields

Yield potential determines Australian wheat growers’ capacity to close yield gaps while mitigating economic risk

Global priorities of environmental issues to combat food insecurity and biodiversity loss

The future of farming: Who will produce our food?

Vertical farms bear fruit

APSIM – Evolution towards a new generation of agricultural systems simulation

Leading farmers in South East Australia have closed the exploitable wheat yield gap: Prospects for further improvement

Cropping system yield gaps can be narrowed with more optimal rotations in dryland subtropical Australia

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

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