The Anomaly Hotspots of Agricultural Production (ASAP) Decision Support System was launched operationally in 2017 to provide timely early warning information on agricultural production based on Earth observation and agro-climatic data in an open and easy-to-use online platform. Over the last three years, the system has seen several methodological improvements related to the input indicators and system functionalities.

There is a better set of rainfall estimates for Africa, a new satellite indicator of biomass that works better for monitoring in near real-time, an indicator of crop and rangeland water stress that comes from a water balance accounting scheme, seasonal rainfall forecasts, national and sub-national crop calendars that are adjusted to ASAP phenology, and a new interface for viewing and analyzing Sentinel and Landsat data with a lot of detail.

In parallel to these technical improvements, stakeholders' and users' uptake was consolidated through the set up of regionally adapted versions of the ASAP system for Eastern Africa in partnership with the Intergovernmental Authority on Development's (IGAD) Climate Prediction and Applications Centre (ICPAC), for North Africa with the Observatoire du Sahara et du Sahel (OSS), and through collaboration with the Angolan National Institute of Meteorology and Geophysics (INAMET), which used the ASAP system to inform about agricultural drought.

Finally, for Algeria's drought-affected winter crop seasons in 2021 and 2022, ASAP indicators have served as inputs for quantitative crop yield forecasting with machine learning at the province level.