Agriculture Dataset Grants
Fund
A fund based in United States
In context
This call is open to startups, small and medium-sized businesses and non-profits and 4 others, at idea and R&D stage and prototype and pilot stage. Funding is a grant. Coverage is read from the notice itself: Global-South, Africa and Asia and 1 other.
Grants are provided to data scientists, researchers, and social entrepreneurs to create, improve, or refresh labeled machine learning datasets focused on agriculture in low- and middle-income countries. The funding targets underserved populations and aims to advance AI/ML applications in agricultural development.
About this grant
The funder aims to create labeled training datasets that enable robust AI applications in agriculture, particularly for the Global South. The fund addresses a critical gap: while AI-enabled tools promise to increase agricultural production and resilience, crucial training data is often unavailable publicly. Recent advances in remote sensing analysis have improved AI task accuracy, and both startups and development programs have leveraged this data to provide personalized information and predictive services for farmers. …
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Frequently asked questions
- Who can apply for Agriculture Dataset Grants?
- Eligibility covers organisations in GLOBAL-SOUTH, AFRICA, ASIA, LATAM; startup, sme, nonprofit, social-enterprise, university, research-institution, individual. The full eligibility conditions are part of the Pro detail.
Relevant sectors
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