Abstract
The smart management of freshwater for precision irrigation in agriculture is essential for increasing crop yield and decreasing costs, while contributing to environmental sustainability. The intense use of technologies offers a means for providing the exact amount of water needed by plants. The Internet of Things (IoT) is the natural choice for smart water management applications, even though the integration of different technologies required for making it work seamlessly in practice is still not fully accomplished. The SWAMP project develops an IoT-based smart water management platform for precision irrigation in agriculture with a hands-on approach based on four pilots in Brazil and Europe. This paper presents the SWAMP architecture, platform, and system deployments that highlight the replicability of the platform, and, as scalability is a major concern for IoT applications, it includes a performance analysis of FIWARE components used in the Platform. Results show that it is able to provide adequate performance for the SWAMP pilots, but requires specially designed configurations and the re-engineering of some components to provide higher scalability using less computational resources.
Highlights
Agriculture is the biggest consumer of freshwater in the world, amounting to up to 70% of the total use [1], which makes the case for smart water management in order to guarantee water and food security to the world’s population
The emergence of Internet of Things (IoT) is a phenomenon that owes to the conjunction of several factors such as inexpensive devices, low-power wireless technologies, availability of cloud data centers for storage and processing, management frameworks for dealing with unstructured data from social networks, high-performance computing resources in commodity platforms, and computational intelligence algorithms to deal with this monumental amount of data
IoT Agent: Maps data coming from sensors and going to actuators to the FIWARE NGSI information model to be stored in Orion and further processed by other Generic Enablers (GE) or external applications
Summary
Agriculture is the biggest consumer of freshwater in the world, amounting to up to 70% of the total use [1], which makes the case for smart water management in order to guarantee water and food security to the world’s population. The platform may be deployed in a range of different configurations for component placement in the cloud or in the fog, involving the use of IoT communication technologies and smart algorithms and analytics in the cloud, and fog-based smart decisions located on the farm premises. This is aimed at experimenting with different deployment possibilities of the SWAMP Platform and providing additional insights in terms of the replicability and adaptability of its components to different settings.
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