While vaccination campaigns against COVID-19 were launched worldwide, a drama has been unfolding in the Moroccan countryside. It has been marked, over the last couple of decades, by rapid agrarian transformation, manifestations of which have included expanding irrigation frontiers and the increasing growth of high-value crops. These dynamics rely strongly on female agricultural wageworkers. Although they earn low wages, their income is crucial and is used to care for loved ones by paying for school fees, rent, electricity, and medicines.

Accurate and operational indicators of the start of growing season (SOS) are critical for crop modeling, famine early warning, and agricultural management in the developing world. Erroneous SOS estimates–late, or early, relative to actual planting dates–can lead to inaccurate crop production and food-availability forecasts. Adapting rainfed agriculture to climate change requires improved harmonization of planting with the onset of rains, and the rising ubiquity of mobile phones in east Africa enables real-time monitoring of this important agricultural decision.

Climate smart agriculture (CSA) technologies are innovations meant to reduce the risks in agricultural production among smallholder farmers. Among the factors that influence farmer adoption of agricultural technologies are farmers' risk attitudes and household livelihood diversification. This study, focused on determining how farmers' risk attitudes and household livelihood diversification influenced the adoption of CSA technologies in the Nyando basin. The study utilized primary data from 122 households from two administrative regions of Kisumu and Kericho counties in Kenya.

Food insecurity remains a major challenge to rural households in Eastern Ethiopia. To improve food and nutrition security of vulnerable households in eastern Ethiopia, several agricultural technologies have been scaled-up by Haramaya University for more than six decades. However, the impact of these technologies on household nutritional outcomes was not systematically studied. This study examined the impact of selected agricultural technologies on household food and nutrition security. Cross-sectional data were generated from 248 randomly selected rural households.

In Cabo Verde, the Fall Armyworm (FAW) was first observed in April 2017 and to date, all the farming islands are affected. In the absence of mitigating measures, losses could reach 50% of the annual production estimated at 5 200 tons at a cost of EUR 2.6 million. FAO is supporting the country in its control and mitigation actions against the FAW infestation, while mobilizing other partners in order to further assist Cabo Verde.