Designing a Knowledge Management Ecosystem for Agricultural Innovation: From Global Theories to the Moroccan Experience

KM & Agricultural Transformation explores how Knowledge Management (KM) modernizes global agriculture. Using the DIKW hierarchy and SECI model, it shows how raw data becomes actionable intelligence through a dynamic spiral between farmers' tacit knowledge and explicit scientific data.The book analyzes the transition to knowledge-intensive farming via Agricultural Knowledge and Innovation Systems (AKIS). Dismantling old top-down technology transfer approaches, it proposes an ecosystem where innovation is co-constructed by researchers, policymakers, and farmers to accelerate problem-solving and build resilience.It highlights the digital revolution, detailing how IoT, remote sensing, GIS, big data, and AI power precision agriculture. These tools convert environmental data into real-time decision-support systems that optimize resources and mitigate climate risks.Finally, it covers practical implementation through the SKiM project and Morocco's "Green Generation 2020-2030" strategy. It concludes that success requires strong governance and capacity building, establishing KM as a critical infrastructure for sustainable development.