The Forum for Agricultural Research in Africa (FARA), in collaboration with key African Agricultural Research, Innovation and Education Institutions (AARIEI), has been at the forefront of strengthening the continent's Agricultural Knowledge ecosystem. This initiative aims to foster synergies, enhance institutional mandates, and sustain progress in Knowledge sharing, learning and management.

As part of this broader collaboration, the institutions jointly implement the Africa Agriculture Space (AASpace)- A Digital knowledge repository powered by Dspace. This robust and scalable platform enables the seamless integration and management of library resources across institutions, extending its reach to the country and institutional levels. The initiative seeks to enhance Agricultural knowledge management across Africa by leveraging ILRI's Leadership and experience in developing and maintaining CGSpace, a CGIAR-wide Dspace platform. The collaboration will drive experience sharing-sharing, inform best practices, and establish a sustainable roadmap for widespread Dspace adoption within the CAADP-XP4 consortium, ensuring last-mile knowledge accessibility.

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Communities in AASpace

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Recent Submissions

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Demystifying Indigenous Knowledge systems as Superstition in Advancing African Agriculture
(FARA, 2026-05-28) Benjamin B. Jabik (PhD)
This presentation examines the role of Indigenous Knowledge Systems (IKS) in advancing sustainable agricultural development in Africa and challenges the tendency to dismiss local knowledge as superstition. The author argues that Indigenous Knowledge represents a systematic, experience-based, and context-specific body of knowledge developed by local communities through long-term interaction with their environment. Using qualitative and ethnographic approaches, the presentation distinguishes Indigenous Knowledge from myths and superstition by emphasizing its practical utility, ecological specificity, cultural grounding, and intergenerational transmission. The discussion highlights the importance of Indigenous Knowledge in agricultural resilience, biodiversity conservation, climate adaptation, seasonal forecasting, agroforestry, soil fertility management, and sustainable farming systems. The presentation further advocates for integrating Indigenous Knowledge Systems into agricultural research, policy, curriculum development, and innovation systems in Africa. It concludes that documenting, investing in, and institutionalizing Indigenous Knowledge can contribute significantly to sustainable agricultural transformation, climate resilience, and locally driven innovation across the continent.
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Letter of Agreement between the African Union Soil Observatory (AUSO) Horizon Europe Project and the Soil Health Monitoring and Information Systems for Sustainable Soil Management in the Mediterranean Region (SOILS4MED) PRIMA Project
(FARA, 2026-05) FARA, AUSO, Soils4Med, UNISS, EU
This Letter of Agreement (LoA) formalizes collaboration between the African Union Soil Observatory (AUSO) Horizon Europe Project and the SOILS4MED PRIMA Project on knowledge exchange, soil health monitoring, soil information systems, sustainable land management, and capacity building. The agreement establishes a framework for cooperation between African and Mediterranean institutions working to improve soil health governance, food security, and climate resilience. The agreement outlines areas of collaboration including joint research initiatives, exchange of scientific information, organization of conferences and training programs, strengthening National Soil Information Systems (NSIS) in Africa, policy engagement, and development of soil health indicators and monitoring methodologies. The LoA further defines mechanisms for intellectual property management, collaborative agreements, data sharing, acknowledgment procedures, confidentiality requirements, and governance arrangements supporting long-term cooperation between the two projects. Annex I provides a detailed framework governing background intellectual property, access rights, use conditions, and acknowledgment requirements for datasets, methodologies, soil information system architectures, mapping tools, and training materials exchanged under the collaboration.
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