A functional framework based on big data analytics for smart farming

Big data in agriculture is defined as massive volumes of data with a wide variety of sources and types which can be captured using Internet of things sensors (soil and crops sensors, drones, meteorological stations, etc.), analyzed and used for decision-making. In the era of IoT tools, connected agriculture has appeared. Big data outputs can be exploited by the future connected agriculture in order to reduce cost and time production, improve yield, develop new products, offer optimization and smart decision-making. In this article, we propose a functional Framework to model the decision-making process in digital and connected agriculture.