Abiotic stresses, including drought, extreme temperatures, salinity, and waterlogging, are the
major constraints in crop production. These abiotic stresses are likely to be amplified by …

Extreme weather increases the risk of large-scale crop failure. The mechanisms involved are
complex and intertwined, hence undermining the identification of simple adaptation levers to …

Extreme weather events frequently cause severe crop yield losses, affecting food security
and farmers' incomes. In this paper, we aim to provide a holistic assessment of these …

Increasing drought and extreme rainfall are major threats to maize production in the United
States. However, compared to drought impact, the impact of excessive rainfall on crop yield …

Extreme climate events constitute a major risk to global food production. Among these,
extreme rainfall is often dismissed from historical analyses and future projections, the …

Crop yield forecasting depends on many interactive factors, including crop genotype,
weather, soil, and management practices. This study analyzes the performance of machine …

Provisioning a sufficient stable source of food requires sound knowledge about current and
upcoming threats to agricultural production. To that end machine learning approaches were …

In the present study, multiple linear regression models were constructed to simulate the yield
of winter wheat, rapeseed, maize and sunflower in Hungary for the 2000–2016 time period …

Climate extremes cause significant winter wheat yield loss and can cause much greater
impacts than single extremes in isolation when multiple extremes occur simultaneously …

To date, assessing the adaptive measures to climate change effects on cropping systems
have generally been based on data from field trials and crop models. This strategy can only …