Data-driven Innovation in Agriculture: A Critical Imperative for Food and Nutrition Security in sub-Saharan Africa

Sub-Saharan Africa (SSA) faces persistent challenges in achieving sustainable agricultural production and food and nutrition security. Traditional farming methods, climate change, poor infrastructure, obsolete technology, declining resources, and limited access to finance and markets, are factors exacerbating these problems. Meanwhile, availability of reliable and accurate data is crucial for efficient resource allocation and management in critical sectors of developing countries, including agriculture. In countries where resources are scarce, efficient resource use will not only reduce waste but also ensure appropriate prioritization of the countries’ developmental needs. Development will forever remain a mirage in countries where there are no accurate data to learn from the past, manage the present sustainably, and understand the future trajectories of problems and prospects for accelerated progress in key sectors. This paper adopts a nuanced approach to explore how accurate agricultural data and innovation jointly influence food security in Africa. The methodology follows a multistage process, beginning with an extensive search of peer-reviewed journals, policy documents, and regional case studies to establish a rigorous evidence base. It then provides careful contextualisation, drawing on credible sources and relevant examples within and beyond Africa to clarify key concepts and terminologies. Through this approach, the study identifies the core problem, unravels knowledge gaps, and highlights issues often overlooked in the literature. In SSA, data-driven innovations have been documented to assist in strengthening resilience against climate shocks and other agriculture-related risks through the facilitation of tailored advisory services, predictive analytics and early warning systems. The availability and accessibility of technologies that combine weather forecasts, soil data, and historical yield trends can help farmers to be proactive in planning for climatic risks, optimizing planting schedules, and improving crop yields. Also, data-enabled platforms are transforming access to credit and insurance through digital profiling and risk assessment models that evaluate farm-level data to determine creditworthiness and underwrite agricultural insurance more effectively. Thus, data-driven approaches leveraging advances in technology such as remote sensing, mobile platforms, big data analytics, and precision agriculture offer transformative opportunities in these countries. The productivity improvement and social inclusion objectives of the government and relevant stakeholders can only be achieved with accurate and timely data. The paper concludes by highlighting the prime place of data-driven innovation in agricultural sustainability for improved nutrition and food security as well as the key initiatives and policy re-engineering required to transform African food systems in general. Key words: Data, Africa, Sustainability, Agriculture, Digital technology, Food security