A System for the Monitoring and Predicting of Data in Precision Agriculture in a Rose Greenhouse Based on Wireless Sensor Networks

Rodríguez, Schubert; Gualotuña, Tatiana; Grilo, Carlos

http://hdl.handle.net/10400.8/14487

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Authors

Rodríguez, Schubert

Gualotuña, Tatiana

Grilo, Carlos

Abstract(s)

In order to provide the best growing conditions for roses in a greenhouse, a Wireless Sensor Network has been designed and implemented that allows for agricultural environment data collection such as temperature, humidity and light. Each sensor node can transmit monitoring data to the cloud. Data mining techniques were used with the purpose of identifying behavioral patterns given the environment conditions captured by the sensor network. The operationalization of this research was taken as a case study within the rose greenhouses available to Universidad de las Fuerzas Armadas – ESPE, Ecuador.

Keywords

Wireless Sensor Networks Data Mining IOT Precision Agriculture Greenhouses

URI

http://hdl.handle.net/10400.8/14487

Citation

Schubert Rodríguez, Tatiana Gualotuña, Carlos Grilo, A System for the Monitoring and Predicting of Data in Precision Agriculture in a Rose Greenhouse Based on Wireless Sensor Networks, Procedia Computer Science, Volume 121, 2017, Pages 306-313, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2017.11.042