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Incorporating machine learning with biophysical model can improve the evaluation of climate extremes impacts on wheat yield in south-eastern Australia
Accurately assessing the impacts of extreme climate events (ECEs) on crop yield can help
develop effective agronomic practices to deal with climate change impacts. Process-based …
develop effective agronomic practices to deal with climate change impacts. Process-based …
Global wheat production with 1.5 and 2.0° C above pre‐industrial warming
Efforts to limit global warming to below 2° C in relation to the pre‐industrial level are under
way, in accordance with the 2015 Paris Agreement. However, most impact research on …
way, in accordance with the 2015 Paris Agreement. However, most impact research on …
Machine learning for soybean yield forecasting in Brazil
Brazil supplies half of the world's exported soybeans. Forecasting its national soybean yield
before harvest could help mitigate disruptions in food supply. The objective of this study is to …
before harvest could help mitigate disruptions in food supply. The objective of this study is to …
[HTML][HTML] Crop yield anomaly forecasting in the Pannonian basin using gradient boosting and its performance in years of severe drought
The increasing frequency and intensity of severe droughts over recent decades have led to
substantial crop yield losses in the Pannonian Basin in southeastern Europe. Their …
substantial crop yield losses in the Pannonian Basin in southeastern Europe. Their …
A time-dependent parameter estimation framework for crop modeling
The performance of crop models in simulating various aspects of the crop** system is
sensitive to parameter calibration. Parameter estimation is challenging, especially for time …
sensitive to parameter calibration. Parameter estimation is challenging, especially for time …
Uncovering the past and future climate drivers of wheat yield shocks in Europe with machine learning
Recently, yield shocks due to extreme weather events and their consequences for food
security have become a major concern. Although long yield time series are available in …
security have become a major concern. Although long yield time series are available in …
Simulating winter rye cover crop production under alternative management in a corn‐soybean rotation
Abstract The Agricultural Production Systems sIMulator (APSIM) was used to evaluate two
alternative approaches for extending the cover crop growing window into corn (Zea mays L.) …
alternative approaches for extending the cover crop growing window into corn (Zea mays L.) …
Non-traditional data to inform modern climate science
The global climate is changing rapidly, with cascading impacts across the world. Even
though the modern instrument-based record of Earth observations reflects decades of critical …
though the modern instrument-based record of Earth observations reflects decades of critical …
A simple procedure for a national wheat yield forecast
National crop yields are difficult to estimate during a crop season and are usually only
known after crop harvest. The goal of this study was to develop a simple methodology to …
known after crop harvest. The goal of this study was to develop a simple methodology to …
Impacts of tropospheric ozone and climate change on Mexico wheat production
Wheat is an important staple crop sensitive to negative effects from elevated tropospheric
ozone (O 3) concentrations, but the impacts of future O 3 concentrations on wheat …
ozone (O 3) concentrations, but the impacts of future O 3 concentrations on wheat …