Extension and advisory services (EAS) play a key role in facilitating innovation processes, empowering marginalized groups through capacity development, and linking farmers with markets. Advisory services are increasingly provided by a range of actors and funded from diverse sources. With the broadened scope of EAS and the growing complexity of the system, the quantitative performance indicators used in the past (e.g. related to investment, staffing or productivity) are not adequate anymore to understand whether the system is well-functioning.
Agricultural performance in Africa is hindered by factors like inaccessible inputs, limited credit, unfavorable weather, pests, diseases, and poor management. The International Centre of Insect Physiology and Ecology (icipe) implemented a project funded by CGIAR to develop digital advisories for Rwanda and Ghana. They created models to forecast fall armyworm invasions and Striga weed risk, which cause significant crop losses. These models, integrated with climate forecasts, run on a Python back-end and are accessible online.