IoT-based data management for Smart Agriculture

Abstract

Precision Agriculture (PA), as the integration of information, communication and control technologies in agriculture, is growing day by day. The Internet of Things (IoT) and cloud computing paradigms offer advances to enhance PA connectivity but typical IoT measurements are not the only data sources available for crop management systems. The great development of Geographic Information Systems (GIS) provides a powerful tool for analyze the crop status in a near real time extent, concretely the images from Copernicus Sentinel-2 satellite have revolutionized PA. Also, there is a lot of unstructured agricultural data disseminated on websites that can be very useful if collected systematically trough web scraping techniques. In this article we present a real-life example of such heterogenous data to serve as complement for a cutting-edge smart farming platform. Specifically, the calculation of the Crop Evapotranspiration has been projected as a case study.