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Project Goals


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.