Agricultural production is under threat due to climate change in food insecure regions,
especially in Asian countries. Various climate-driven extremes, ie, drought, heat waves …

Nitrate pollution of ground and surface water bodies all over the world is generally linked
with continually increasing global fertilizer nitrogen (N) use. But after 1990, with more …

Quantifying soil structural dynamics and aggregate turnover is important in understanding
soil organic carbon (SOC) stocks, particularly over decadal and larger time scales. Until now …

Technological advancements have led to an increased use of the internet of things (IoT) to
enhance the resource use efficiency, productivity, and cost-effectiveness of agricultural …

Reliable and timely crop-yield prediction and crop map** are crucial for food security and
decision making in the food industry and in agro-environmental management. The global …

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 …

Understanding the potential drought impacts on agricultural production is critical for
ensuring global food security. Instead of providing a deterministic estimate, this study …

Extreme weather events threaten food security, yet global assessments of impacts caused
by crop waterlogging are rare. Here we first develop a paradigm that distils common stress …

Timely monitoring of crop lands is important in order to make agricultural activities more
sustainable, as well as ensuring food security. The use of Earth Observation (EO) data …

Co-optimization of multiple management practices may facilitate climate-smart agriculture,
but is challenged by complex climate–crop–soil management interconnections across space …