Proposal of an IoT Architecture for Greenhouse Monitoring

Victor Lisnic, Filipa Ferrada, Patricia Correia

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Agriculture is an industry that is essential for the food supply for the world population. Although this industry is so important, there are many challenges associated with it, such as the pollution/waste present in the agricultural practices and the aging of the farmers. The application of technological solutions can provide a way to solve these challenges, by retrieving data from the physical environment, based on which future decisions can be taken, using actuators. The goal of this work is to present an architecture through which the different layers can communicate with each other's, and then based on this architecture develop a system that can help monitor the agricultural fields. The project is applied in a controlled environment (a greenhouse), and the objective is to verify both the waste of water within the cultures, and if there are benefits in changing the plastics used on top of the soil in terms of production, from the traditional one (black), to a plastic that is white and thicker.

Original languageEnglish
Title of host publicationProceedings - 2022 International Young Engineers Forum in Electrical and Computer Engineering, YEF-ECE 2022
Place of PublicationNew Jersey
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages45-51
Number of pages7
ISBN (Electronic)978-1-6654-6731-5
ISBN (Print)978-1-6654-6732-2
DOIs
Publication statusPublished - 2022
Event2022 International Young Engineers Forum in Electrical and Computer Engineering, YEF-ECE 2022 - Caparica, Lisbon, Portugal
Duration: 1 Jul 20221 Jul 2022

Publication series

NameProceedings - 2022 International Young Engineers Forum in Electrical and Computer Engineering, YEF-ECE 2022
PublisherIEEE

Conference

Conference2022 International Young Engineers Forum in Electrical and Computer Engineering, YEF-ECE 2022
Country/TerritoryPortugal
CityLisbon
Period1/07/221/07/22

Keywords

  • Agriculture 4.0
  • Cyber Physical System
  • Digital Twin
  • Internet of Things
  • Machine Learning
  • Precision Agriculture
  • Sensors

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