SOX: uma plataforma para a coleta massiva de dados e o monitoramento contínuo de variáveis ambientais relacionadas ao solo

Abstract

The interaction between soil and plant are fundamental inputs for production, these resources make up the living things food chain. Environmental variables knowledge involved in process have a productivity impact, without extraction, destruction and chemical contamination, soil sample collected is challenging. Sensors use for soil evaluation is effective replacing way laboratory techniques chemicals use, because they present a low ambient impact and cost. The present work presents an electronic sensors network that allow data collection in a continuous way, as well a cloud computing which structure supports data massive volumes. To support the platform construction, an exploratory study was carried out bringing to light some functional and operational challenges imposed by agricultural scenario on technological solutions. The SOX platform construction methodology took place in four stages, the first one dealing with variables related identification to the soil and the productivity of the area. The second stage refers available equipment definition, passing for values collection and validations. The third step is architecture definition and integration of the layers. The last step deals with a battery applications of stress tests, load, functionalities and platform stability. As a result, the SOX platform offers massive collection possibility of environmental data, which may reflect agriculture sustainability, productivity level and resources status. The SOX has been shown to support simultaneous access with up to 32 users, where 100,000 document recording operations were performed. Making it possible data view as it is database registered and accessible through any web browser. The SOX platform can be accessible to many users, applicable to productive area conditions, sensitive to environmental stresses and management over time, and allows values storage historical series in a digital database structure.