TAMASA aimed to use innovative approaches to transform agronomy in the following ways:
- Using available geospatial and other data and analytics to map maize areas, soil constraints, and yields at different scales;
- Working with service providers (i.e. input suppliers, government and private research and extension services, agro-dealers, and others) to identify and co-develop systems and applications that transform this data and information to useable products that support their businesses or programs to reach clients more effectively; and
- Building capacity in national programs to support and sustain these approaches.
Critical short-term outcomes were:
(i) the use of tools and data by service providers and research organizations;
(ii) an increased or more efficient use of appropriate inputs by smallholder farmers; and
(iii) a better understanding of how to increase the effectiveness of delivering agronomic advice at scale.
Core products and services of this project included:
- Annual assessments and digital maps of maize growing areas, actual and attainable yields in core research areas or focal areas;
- Decision-support tools for ex ante spatial analysis, nutrient management, fertilizer formulation and variety selection;
- Open-access databases of agronomic data;
- Increased capacity in national programs and partners through in-country data science and software application training and mentoring.