Compound droughts and hot events or extremes (CDHEs) may lead to larger repercussions
than do individual extremes. Due to the disastrous impacts and increased risk of these …

Losses of nitrogen from agriculture are a major threat to environmental and human health at
local, regional and global scales. Emerging evidence shows that climate change and …

This study investigates whether coupling crop modeling and machine learning (ML)
improves corn yield predictions in the US Corn Belt. The main objectives are to explore …

Climate prediction models suggest that agricultural productivity will be significantly affected
in the future. The expected rise in average global temperature due to the higher release of …

Drought stress during the reproductive stage and declining soybean yield potential raise
concerns about yield loss and economic return. In this study, ten cultivars were …

The emergence of new technologies to synthesize and analyze big data with high-
performance computing has increased our capacity to more accurately predict crop yields …

Compound climate extremes such as drought and high temperature have a greater impact
on agricultural production than the individual extremes. An increasing frequency and …

As climate change leads to increased frequency and severity of drought in many agricultural
regions, a prominent adaptation goal is to reduce the drought sensitivity of crop yields. Yet …

Drought is one of the significant abiotic stresses threatening crop production worldwide.
Soybean is a major legume crop with immense economic significance, but its production is …

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 …