Crops

This study provides a framework for direct integration of soil moisture observations collected from soil sensors and satellite imagery into process-based crop models for improving the representation of agricultral systems. The performance of this framework was evaluated across 19 site-years for crop yield, NDVI, soil moisture, tile flow drainage and nitrate leaching.

Drought monitoring and yield prediction often rely on coarse-scale hydroclimate data or (infrequent) vegetation indexes that do not always indicate the conditions farmers face in the field. Consequently, decision-making based on these indices can often be disconnected from the farmer reality. Our study focuses on smallholder farming systems in data-sparse developing countries, and it shows how field-scale soil moisture can leverage and improve crop yield prediction and drought impact assessment.

Given the varying manifestations of climate change over time and the influence of climate perceptions on adaptation, it is important to …

Accurate crop yield forecasts before harvest are crucial for providing early warning of agricultural losses, so that policy-makers can …