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RISTI - Revista Ibérica de Sistemas e Tecnologias de Informação

versão impressa ISSN 1646-9895

Resumo

MONTOYA, Edwin Andrés Quiroga; COLORADO, Sergio Fernando Jaramillo; MUNOZ, Wilmar Yesid Campo  e  GOLONDRINO, Gabriel Elías Chanchí. Proposal of an Architecture for Precision Agriculture Supported in IoT. RISTI [online]. 2017, n.24, pp.39-56. ISSN 1646-9895.  http://dx.doi.org/10.17013/risti.24.39–56.

This paper presents a proposal for an architecture for precision agriculture supported in open technologies of the Internet of things (IoT) for the collection, monitoring and analysis of climatic variables. The proposal is based on the structure of the Lambda architecture, considering different layers such as: The data capture layer, whose function is to obtain variables associated with a crop. The storage layer, whose function is to collect the information in real time from the sensors. The processing layer generates predictions and recommendations, which are evaluated by load tests to determine their capacity and response time. The query layer allows to end users to view weather data and predictions on a web interface. Thus, this architecture aims to serve as a reference for the implementation of services based on IoT in the area of agriculture

Palavras-chave : Climate variables; Internet of Things; Architecture Lambda; Precision Agriculture; Sparkjava Framework.

        · resumo em Espanhol     · texto em Espanhol     · Espanhol ( pdf )

 

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