Telemonitoring System of Greenhouses using Weather Station to calculate ANN Temperature in Crop Plant

Resumen

In recent years, the use of greenhouses for agricultural production has grown rapidly and continuously in Mexico. One of the most important factors that has a deep impact in plant cultivation in order to increase production efficiency has been monitoring continuously evapotranspiration proposed in [1], which due to the topography of the country and regions designated for construction of greenhouses, should be performed remotely. To make this monitor an embedded system with a virtual machine is deployed [2]. The embedded system proposed allows remote connectivity through a telemetry and telemonitoring system via the web. To maintain optimum performance of the greenhouse should be controlled variables as temperature, humidity, solar radiation and others to achieve adapt properly controlled in the greenhouse environment, externally monitored external climatic conditions in the greenhouse with the use of an embedded weather station. In this paper the study and implementation of a specialized embedded system for greenhouses, which uses neural diffusion algorithms to obtain independently the Evapotranspiration occurs.