Developing Ubiquitous Sensor Network Platform Using Internet of Things: Application in Precision Agriculture
Authors: Francisco Javier Ferrández-Pastor, Juan Manuel García-Chamizo, Mario Nieto-Hidalgo, Jerónimo Mora-Pascual and José Mora-Martínez
Journal Title: Sensors
Publisher: MDPI AG
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
The application of Information Technologies into Precision Agriculture methods has clear benefits. Precision Agriculture optimises production efficiency, increases quality, minimises environmental impact and reduces the use of resources (energy, water); however, there are different barriers that have delayed its wide development. Some of these main barriers are expensive equipment, the difficulty to operate and maintain and the standard for sensor networks are still under development. Nowadays, new technological development in embedded devices (hardware and communication protocols), the evolution of Internet technologies (Internet of Things) and ubiquitous computing (Ubiquitous Sensor Networks) allow developing less expensive systems, easier to control, install and maintain, using standard protocols with low-power consumption. This work develops and test a low-cost sensor/actuator network platform, based in Internet of Things, integrating machine-to-machine and human-machine-interface protocols. Edge computing uses this multi-protocol approach to develop control processes on Precision Agriculture scenarios. A greenhouse with hydroponic crop production was developed and tested using Ubiquitous Sensor Network monitoring and edge control on Internet of Things paradigm. The experimental results showed that the Internet technologies and Smart Object Communication Patterns can be combined to encourage development of Precision Agriculture. They demonstrated added benefits (cost, energy, smart developing, acceptance by agricultural specialists) when a project is launched.
Figure : Experimental Hydroponic Station deployment. IoT communication is tested using three USN controlled by two kind of embedded devices. Sensors and actuators are logical variables in Ubidots IoT framework. GUI interfaces, analytic, storage and events programming are tested during plants growth. Control local processes are implemented in these devices. (credits: Francisco Javier Ferrández-Pastor, Juan Manuel García-Chamizo, Mario Nieto-Hidalgo, Jerónimo Mora-Pascual and José Mora-Martínez)
Figure : Experimental Hydroponic Station deployment. IoT communication is tested using three USN controlled by two kind of embedded devices. Sensors and actuators are logical variables in Ubidots IoT framework. GUI interfaces, analytic, storage and events programming are tested durin...