The Agriculture Management Information System is being developed through a partnership between the Kenya Space Agency and Microsoft AI for Good to support smallholder farming. The project includes generating land use and land cover maps, identifying crop types, and creating a centralized data repository and crop dashboard. It also involves ongoing crop monitoring and the development of a crop yield estimation model to enhance agricultural planning and decision-making.

Prerequisites:

• Coordination mechanisms to aggregate needs efficiently

• Procurement pathway

• Partner support as needed

• Cybersecurity, data protection, and continuity planning

Cost:

• Ballpark: USD 100k–10M

• Includes: stakeholder consultations, expert advisory, site preparation and facilities, servers or cloud infrastructure, storage and backup, ETL pipelines and APIs, metadata/catalogue systems, cybersecurity, basic training

Timeframe:

• Overall: 12–36 mo

• Phase: scoping & design (3–6 mo), procurement & setup (6–12 mo), integration & testing (6–12 mo), training & operationalisation (3–6 mo)

Pros:

• Improved Decision Making - Enables informed decision-making by identifying areas that require investment and improvement

• Increased Resilience and Efficiency - Improves allocation of resources while improving recovery after disruption

• Cost Effectiveness - By mutualizing needs, it improves allocation of financial resources, maximizing impact while minimizing waste

Considerations:

• Dependency - Reliant on external providers

• Complexity - Potential integration and coordination issues