Modelo de microestação agrometeorológica para monitoramento vitícola

• Ano de defesa: 2011
• Autor(a) principal: Sabo, Paulo Henrique
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Estadual de Maringá; Brasil; Departamento de Informática; Programa de Pós-Graduação em Ciência da Computação; UEM; Maringá, PR; Centro de Tecnologia
• Palavras-chave em Português: Sistemas embarcados; Monitoramento; Arduino; ZigBee; Agricultura; Viticultura; Meteorologia; Brasil.; Agriculture; Viticulture; Weather monitoring; Embedded systems; Brazil.; Ciências Exatas e da Terra; Ciência da Computação
• Link de acesso: http://repositorio.uem.br:8080/jspui/handle/1/2535

Based on a reality in which national economic foundation is agriculture, who lives in condition of increasing change and competitiveness. To this end, one of the factors that makes this possible is the revolution of information and knowledge. The developments observed in the field of information and communication technology stimulates the researchers in this area to develop support systems to the farmer. It is expected that very soon, all decisions made and actions committed in agriculture will be made based on an intensive information and context, all sector agents will have to make use of integrated agriculture to information in order to be competitive in the market. Based on these assumptions this work aims to present a model of integrated computational system that aims to support family farms. Its initial implementation is focused on the cultivation of grapes, and is designed for small producers, members of a cooperative that produces wine in the city of Marialva, Brazil. Through this system it is possible to perform agro meteorological data collection in the field and provide this information in order to provide a database to the farmer. Thus, from the information offered by the system, the beneficiary can devise and plan the planting so that the handling and grape growing be more effective, as well as reap the benefits arising out of use of this assistive technology. The model was developed using the Arduino platform for agrometeorological microstations and ZigBee for communication between the microstations. Were used also sensors that has made possible the classification of the grape by the Geoviticultural CCM system. Not only to meet the agricultural monitoring, the proposed model can be applied to any type of environment, providing accurate data of the monitored region, contributing also to the meteorological monitoring of the region.