Uniting remote sensing, crop modelling and economics for agricultural risk management

E Benami, Z Jin, MR Carter, A Ghosh… - Nature Reviews Earth & …, 2021 - nature.com
The increasing availability of satellite data at higher spatial, temporal and spectral
resolutions is enabling new applications in agriculture and economic development …

Narrowing uncertainties in the effects of elevated CO2 on crops

A Toreti, D Deryng, FN Tubiello, C Müller, BA Kimball… - Nature Food, 2020 - nature.com
Plant responses to rising atmospheric carbon dioxide (CO2) concentrations, together with
projected variations in temperature and precipitation will determine future agricultural …

Extreme climate events increase risk of global food insecurity and adaptation needs

T Hasegawa, G Sakurai, S Fujimori, K Takahashi… - Nature Food, 2021 - nature.com
Climate change is expected to increase the frequency, intensity and spatial extent of
extreme climate events, and thus is a key concern for food production. However, food …

Global irrigation contribution to wheat and maize yield

X Wang, C Müller, J Elliot, ND Mueller, P Ciais… - Nature …, 2021 - nature.com
Irrigation is the largest sector of human water use and an important option for increasing
crop production and reducing drought impacts. However, the potential for irrigation to …

A within-season approach for detecting early growth stages in corn and soybean using high temporal and spatial resolution imagery

F Gao, M Anderson, C Daughtry, A Karnieli… - Remote Sensing of …, 2020 - Elsevier
Crop emergence date is a critical input to models of crop development and biomass
accumulation. The ability to robustly detect and map emergence date using remote sensing …

Spatial frameworks for robust estimation of yield gaps

JI Rattalino Edreira, JF Andrade, KG Cassman… - Nature Food, 2021 - nature.com
Food security interventions and policies need reliable estimates of crop production and the
scope to enhance production on existing cropland. Here we assess the performance of two …

Global gridded crop models underestimate yield responses to droughts and heatwaves

S Heinicke, K Frieler, J Jägermeyr… - Environmental Research …, 2022 - iopscience.iop.org
Extreme events can lead to crop yield declines, resulting in financial losses and threats to
food security, and the frequency and intensity of such events is projected to increase. As …

Did water-saving irrigation protect water resources over the past 40 years? A global analysis based on water accounting framework

X Zhou, Y Zhang, Z Sheng, K Manevski… - Agricultural Water …, 2021 - Elsevier
Water-saving technologies have long been seen as an effective method to reduce irrigation
water use and alleviate regional water shortage. However, growing reports of more severe …

Cross-validation strategy impacts the performance and interpretation of machine learning models

L Sweet, C Müller, M Anand… - Artificial Intelligence for …, 2023 - journals.ametsoc.org
Abstract Machine learning algorithms are able to capture complex, nonlinear, interacting
relationships and are increasingly used to predict agricultural yield variability at regional and …

[HTML][HTML] Storylines of weather-induced crop failure events under climate change

HMD Goulart, K Van Der Wiel, C Folberth… - Earth System …, 2021 - esd.copernicus.org
Unfavourable weather is a common cause for crop failures all over the world. Whilst extreme
weather conditions may cause extreme impacts, crop failure commonly is induced by the …