This chapter synthesizes the technological, institutional, financial, and educational conditions that will determine whether precision agriculture (PA) can scale across Africa. It frames PA as a data-driven management strategy—integrating sensing, GNSS/GIS, analytics, and decision tools—to act on spatial and temporal variability, and outlines its three core components: information bases, enabling technologies, and management actions. Against the backdrop of climate change and persistent yield gaps, this chapter reviews emerging African adoption: widespread pilots and experimental use (with deeper uptake on large commercial farms in South Africa) and growing attention from continental and national institutions. It then details enablers, such as digital connectivity, sensor networks, Global Navigation Satellite Systems (GNSS), Geographic Information Systems (GIS), the Internet of Things (IoT), Farm Management Information Systems (FMIS), Unmanned Aerial Vehicles (UAVs including drones), and artificial intelligence/machine-learning approaches (AI/ML), and the policy drivers that are accelerating demand (food security, urbanization, climate adaptation, youth engagement). Country snapshots (Ghana, Nigeria, Kenya, Morocco) illustrate how policies, subsidies, irrigation programs, input quality control, finance, insurance, and extension are being mobilized to support PA. The chapter also catalogs key impediments: high capital and service costs, limited finance, patchy connectivity and technical support, weak governance and land tenure, low digital literacy, gendered access constraints, and environmental variability that complicates standardization. A roadmap for overcoming these barriers emphasizes capacity building (from graduate training to inclusive extension), rural digital and physical infrastructure, policy and regulatory reform, innovative financing and public–private partnerships and coordinated international support. The role of regional networks (e.g., AAPA), agri-tech startups, open resources, and communities of practice is highlighted as essential to move from pilots to inclusive, climate-resilient, and scalable PA.