Incorporating machine learning with biophysical model can improve the evaluation of climate extremes impacts on wheat yield in south-eastern Australia

P Feng, B Wang, D Li Liu, C Waters, Q Yu - Agricultural and Forest …, 2019 - Elsevier
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 …

Global wheat production with 1.5 and 2.0° C above pre‐industrial warming

B Liu, P Martre, F Ewert, JR Porter… - Global Change …, 2019 - Wiley Online Library
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 …

Machine learning for soybean yield forecasting in Brazil

M von Bloh, RSN Júnior, X Wangerpohl… - Agricultural and Forest …, 2023 - Elsevier
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 …

[HTML][HTML] Crop yield anomaly forecasting in the Pannonian basin using gradient boosting and its performance in years of severe drought

E Bueechi, M Fischer, L Crocetti, M Trnka, A Grlj… - Agricultural and Forest …, 2023 - Elsevier
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 …

A time-dependent parameter estimation framework for crop modeling

F Akhavizadegan, J Ansarifar, L Wang, I Huber… - Scientific reports, 2021 - nature.com
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 …

Uncovering the past and future climate drivers of wheat yield shocks in Europe with machine learning

P Zhu, R Abramoff, D Makowski, P Ciais - Earth's Future, 2021 - Wiley Online Library
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 …

Simulating winter rye cover crop production under alternative management in a corn‐soybean rotation

N Chatterjee, SV Archontoulis, A Bastidas… - Agronomy …, 2020 - Wiley Online Library
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.) …

Non-traditional data to inform modern climate science

KR Miner, E Wong, BA Gay, CE Miller - Frontiers in Communication, 2025 - frontiersin.org
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 …

A simple procedure for a national wheat yield forecast

RSN Júnior, L Olivier, D Wallach, E Mullens… - European Journal of …, 2023 - Elsevier
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 …

Impacts of tropospheric ozone and climate change on Mexico wheat production

JR Guarin, L Emberson, D Simpson… - Climatic change, 2019 - Springer
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 …