Cargando…

Versatile Internet of Things for Agriculture: An eXplainable AI Approach

The increase of the adoption of IoT devices and the contemporary problem of food production have given rise to numerous applications of IoT in agriculture. These applications typically comprise a set of sensors that are installed in open fields and measure metrics, such as temperature or humidity, w...

Descripción completa

Detalles Bibliográficos
Autores principales: Tsakiridis, Nikolaos L., Diamantopoulos, Themistoklis, Symeonidis, Andreas L., Theocharis, John B., Iossifides, Athanasios, Chatzimisios, Periklis, Pratos, George, Kouvas, Dimitris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7256588/
http://dx.doi.org/10.1007/978-3-030-49186-4_16
_version_ 1783539943912505344
author Tsakiridis, Nikolaos L.
Diamantopoulos, Themistoklis
Symeonidis, Andreas L.
Theocharis, John B.
Iossifides, Athanasios
Chatzimisios, Periklis
Pratos, George
Kouvas, Dimitris
author_facet Tsakiridis, Nikolaos L.
Diamantopoulos, Themistoklis
Symeonidis, Andreas L.
Theocharis, John B.
Iossifides, Athanasios
Chatzimisios, Periklis
Pratos, George
Kouvas, Dimitris
author_sort Tsakiridis, Nikolaos L.
collection PubMed
description The increase of the adoption of IoT devices and the contemporary problem of food production have given rise to numerous applications of IoT in agriculture. These applications typically comprise a set of sensors that are installed in open fields and measure metrics, such as temperature or humidity, which are used for irrigation control systems. Though useful, most contemporary systems have high installation and maintenance costs, and they do not offer automated control or, if they do, they are usually not interpretable, and thus cannot be trusted for such critical applications. In this work, we design Vital, a system that incorporates a set of low-cost sensors, a robust data store, and most importantly an explainable AI decision support system. Our system outputs a fuzzy rule-base, which is interpretable and allows fully automating the irrigation of the fields. Upon evaluating Vital in two pilot cases, we conclude that it can be effective for monitoring open-field installations.
format Online
Article
Text
id pubmed-7256588
institution National Center for Biotechnology Information
language English
publishDate 2020
record_format MEDLINE/PubMed
spelling pubmed-72565882020-05-29 Versatile Internet of Things for Agriculture: An eXplainable AI Approach Tsakiridis, Nikolaos L. Diamantopoulos, Themistoklis Symeonidis, Andreas L. Theocharis, John B. Iossifides, Athanasios Chatzimisios, Periklis Pratos, George Kouvas, Dimitris Artificial Intelligence Applications and Innovations Article The increase of the adoption of IoT devices and the contemporary problem of food production have given rise to numerous applications of IoT in agriculture. These applications typically comprise a set of sensors that are installed in open fields and measure metrics, such as temperature or humidity, which are used for irrigation control systems. Though useful, most contemporary systems have high installation and maintenance costs, and they do not offer automated control or, if they do, they are usually not interpretable, and thus cannot be trusted for such critical applications. In this work, we design Vital, a system that incorporates a set of low-cost sensors, a robust data store, and most importantly an explainable AI decision support system. Our system outputs a fuzzy rule-base, which is interpretable and allows fully automating the irrigation of the fields. Upon evaluating Vital in two pilot cases, we conclude that it can be effective for monitoring open-field installations. 2020-05-06 /pmc/articles/PMC7256588/ http://dx.doi.org/10.1007/978-3-030-49186-4_16 Text en © IFIP International Federation for Information Processing 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Tsakiridis, Nikolaos L.
Diamantopoulos, Themistoklis
Symeonidis, Andreas L.
Theocharis, John B.
Iossifides, Athanasios
Chatzimisios, Periklis
Pratos, George
Kouvas, Dimitris
Versatile Internet of Things for Agriculture: An eXplainable AI Approach
title Versatile Internet of Things for Agriculture: An eXplainable AI Approach
title_full Versatile Internet of Things for Agriculture: An eXplainable AI Approach
title_fullStr Versatile Internet of Things for Agriculture: An eXplainable AI Approach
title_full_unstemmed Versatile Internet of Things for Agriculture: An eXplainable AI Approach
title_short Versatile Internet of Things for Agriculture: An eXplainable AI Approach
title_sort versatile internet of things for agriculture: an explainable ai approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7256588/
http://dx.doi.org/10.1007/978-3-030-49186-4_16
work_keys_str_mv AT tsakiridisnikolaosl versatileinternetofthingsforagricultureanexplainableaiapproach
AT diamantopoulosthemistoklis versatileinternetofthingsforagricultureanexplainableaiapproach
AT symeonidisandreasl versatileinternetofthingsforagricultureanexplainableaiapproach
AT theocharisjohnb versatileinternetofthingsforagricultureanexplainableaiapproach
AT iossifidesathanasios versatileinternetofthingsforagricultureanexplainableaiapproach
AT chatzimisiosperiklis versatileinternetofthingsforagricultureanexplainableaiapproach
AT pratosgeorge versatileinternetofthingsforagricultureanexplainableaiapproach
AT kouvasdimitris versatileinternetofthingsforagricultureanexplainableaiapproach