Ciência-IUL
Publications
Publication Detailed Description
A methodology for sustainable farming irrigation using WSN, NB-IoT and machine learning
2020 5th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM)
Year (definitive publication)
2020
Language
English
Country
United States of America
More Information
Web of Science®
This publication is not indexed in Web of Science®
Scopus
Google Scholar
Abstract
With the quick advance of technology and the appearance of low cost/high performance solutions, it became possible to develop new solutions in order to achieve sustainability. This paper proposes a scheme for monitor and control farming irrigation in order to measure and administrate the right amount of water needed to avoid overirrigation, preventing and alerting to risk situations, that require immediate intervention. This paper provides a methodology for an IoT system with a wireless sensor network installed on the ground and a main server, running machine learning algorithms, to process the collected data. Communications will be conducted using NB-IoT and LoRa. In order to give the owner the capability of consult the collected data and control his property, an iOS application completes the methodology, allowing the system to be remote and to be used anywhere, only requiring an internet connection.
Acknowledgements
--
Keywords
Internet of thing,Wireless sensor network,NBIoT,LoRa,iOS,ESP32,Sustainability,MQTT
Funding Records
Funding Reference | Funding Entity |
---|---|
ISCTE-IUL-ISTA-BM-2018 | Fundação para a Ciência e a Tecnologia |