A Greenhouse is an indoor covered place where plants are grown and cultivated. In the agriculture field, the crops into greenhouse are highly used due that they provide a little micro-environment that can be easier controlled. At this same context, there are some important parameters that should be monitored at a greenhouse in order to achieve good results at the end of the agricultural production. Two of these parameters are precisely the temperature and humidity that are been commonly measured with manual methods. The wireless sensors networks (WSN) are defined as the collection of sensor nodes that perform a specific task and they are representing one of the technological solutions to automatize and improve the management of crops. This paper summarizes the work carried out to provide an efficient control mechanism of microclimate into greenhouses through the implementation of an infrastructure of Wireless Sensors Network to control environmental parameters. It was possible to probe the effectiveness of this mechanism through the comparative analysis of measures taken using both (1) traditional manual mechanism and (2) automatized with sensors mechanism. A crop of tomato was selected as a case study in which a physic network topology was deployed. Additionally, a management data application was developed taking into account usability parameters in order to create a tool easily accepted by the future users.
Se implementó una red de sensores inalámbricos para el control de fallas del alumbrado público con topología estrella, basada en comunicación ZigBee entre el nodo router y el nodo coordinador. El primer nodo trabaja con una tarjeta de desarrollo Arduino para procesar la información de la luminaria proveniente de los sensores de corriente, voltaje y posición, para luego enviarla al coordinador mediante módulos Xbee. El segundo nodo trabaja con dos tarjetas de desarrollo: Arduino procesa la información de los nodos routers en conjunto con su luminaria propia y Raspberry Pi envía los datos obtenidos a una página web donde permite registrar el estado de las luminarias. De las pruebas realizadas se obtiene que el sistema puede medir valores de voltaje con un error de ± 0.01 V, corriente con un error de ± 0.1 A. Se concluye que el prototipo implementado permite la supervisión en tiempo real de fallas del alumbrado público y se convertiría en una ayuda para la detección de fallas en las lámparas de alumbrado público.
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