TAKING MAIZE AGRONOMY TO SCALE IN AFRICA (TAMASA) – Flyer
The current R&D landscape, particularly in agronomy, is characterized by blanket recommendations, poor availability, and limited use of spatial data. There are few options for rapid and cost-effective data collection, the result being that agronomy remains experiential, rather than predictive, and that site-specific knowledge cannot be shared or easily scaled out.
Helping millions of maize farmers across sub-Saharan Africa achieve greater yields and incomes through the provision of farm-specific agronomic advice
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