Hi, I'm Racine.
I'm a researcher interested in using geospatial data and predictive modeling to study challenges at the nexus of climate variability and the food system in Africa. My work is oriented toward developing, adopting, and using technology to strengthen data-driven decision-making in governments for effective interventions and robust preparedness against climate shocks and uncertainties.
I am currently the Director of data management, digital products, and technology at AKADEMIYA2063. Before that, I was an Africa-wide research coordinator at the International Food Policy Research Institute (IFPRI) Africa office. More.
While the spotlight was on how to respond to the impact of COVID-19 on communities' livelihoods, the climate crisis could also put countries in the blink of an unprecedented food crisis. Amidst the COVID-19 crisis, several mobility restrictions measures put the agricultural sector at risk. Seasonal workers could not reach the fields, and seeds and fertilizers may not arrive on time due to air transportation disruptions. Timely, granular, and disaggregated data was needed for intervention planning and food crop production risk assessment.
The authors developed the Africa Crop Production (AfCP) model by combining satellite remote sensing data and machine learning techniques to predict food crop production levels in 2020 for all African countries and four staples: maize, cassava, rice, and wheat.
Publication link: https://doi.org/10.54067/9781737916413.
Data access: https://www.aagwa.org