| dc.description.abstract | Agriculture is considered as a vital activity for providing food to the increasingly growing
population reaching 8.6 billion in 2030, according to the UN. Agriculture is directly tied to the
availability of water and requires irrigation always. Although the world’s freshwater resources
are scarce and in limited amounts, many of the existing irrigation systems and practices are
highly inefficient, leading to a significant waste of water. Modern problems require modern
solutions, the emergence of the cloud computing paradigm supported in shaping many of the
existing solutions to tackle water resources management in agriculture, combining the latest
technological developments from various fields. The principal purpose of this work is to
demonstrate a novel approach for water resources management in precision agriculture by
exploiting a context information management framework named FIWARE. The outcome is a
complete context-aware system combined of the various Generic Enablers provided by
FIWARE, capable of making autonomous irrigation decisions (using Complex Event
Processing) which are not solely based on sensor-related measurements, but further on the
integration of different sources of information such as weather forecast data from
OpenWeatherMap. By doing so, optimal management of water resources according to the
predicted weather conditions has been achieved within the system. | en_US |
