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IoT-based solution to reduce waste and promote a sustainable farming industry

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Resumo:Waste and the necessity to increase sustainability in the farming industry are some of the challenges addressed in the agri-food chain. With the potential of digital technologies, e.g., the Internet of Things (IoT) and Artificial Intelligence, to revolutionize agriculture by enabling more efficient and intelligent monitoring, system architecture and IoT nodes were developed to support relevant parameters for composing a Sustainability Index for the Bio-economy (siBIO). These nodes are scalable, modular, capable of meeting on-demand production needs, and provide a cost-effective alternative to commercial solutions or manual data collection methods. The collected data is transmitted to middleware and then stored, analyzed, and displayed on a user-friendly dashboard, providing data to siBIO and consequently contributing to a more sustainable farming industry and reducing waste of resources and food. The results include the implementation of IoT nodes in a case study involving a vineyard and an apple orchard. The nodes are successfully collecting data on environmental, operational, and energy parameters such as temperature, air humidity, soil moisture, precipitation, and water and electricity consumption for irrigation. The tests of data transmission and collection, functionality and robustness of the proposed solution were promising, offering a way to quantify the sustainability index and facilitate the exchange of agricultural information in a reliable and standardized way.
Autores principais:Stefanuto, Bruno
Outros Autores:Funchal, Gustavo Silva; Melo, Victoria; Mendes, Andre C.; Raimundo, Délio; Gouveia, Hélia; Coelho, João Paulo; Leitão, Paulo
Assunto:Agriculture 4.0 Internet of things Sustainable production
Ano:2023
País:Portugal
Tipo de documento:comunicação em conferência
Tipo de acesso:acesso aberto
Instituição associada:Instituto Politécnico de Bragança
Idioma:inglês
Origem:Biblioteca Digital do IPB
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author Stefanuto, Bruno
author2 Funchal, Gustavo Silva
Melo, Victoria
Mendes, Andre C.
Raimundo, Délio
Gouveia, Hélia
Coelho, João Paulo
Leitão, Paulo
author2_role author
author
author
author
author
author
author
author_facet Stefanuto, Bruno
Funchal, Gustavo Silva
Melo, Victoria
Mendes, Andre C.
Raimundo, Délio
Gouveia, Hélia
Coelho, João Paulo
Leitão, Paulo
author_role author
contributor_name_str_mv Biblioteca Digital do IPB
country_str PT
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datacite.contributors.contributor.contributorName.fl_str_mv Biblioteca Digital do IPB
datacite.creators.creator.creatorName.fl_str_mv Stefanuto, Bruno
Funchal, Gustavo Silva
Melo, Victoria
Mendes, Andre C.
Raimundo, Délio
Gouveia, Hélia
Coelho, João Paulo
Leitão, Paulo
datacite.date.Accepted.fl_str_mv 2023-01-01T00:00:00Z
datacite.date.available.fl_str_mv 2024-07-09T08:25:16Z
datacite.date.embargoed.fl_str_mv 2024-07-09T08:25:16Z
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_abf2
datacite.subjects.subject.fl_str_mv Agriculture 4.0
Internet of things
Sustainable production
datacite.titles.title.fl_str_mv IoT-based solution to reduce waste and promote a sustainable farming industry
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.creator.none.fl_str_mv Stefanuto, Bruno
Funchal, Gustavo Silva
Melo, Victoria
Mendes, Andre C.
Raimundo, Délio
Gouveia, Hélia
Coelho, João Paulo
Leitão, Paulo
dc.date.Accepted.fl_str_mv 2023-01-01T00:00:00Z
dc.date.available.fl_str_mv 2024-07-09T08:25:16Z
dc.date.embargoed.fl_str_mv 2024-07-09T08:25:16Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv http://hdl.handle.net/10198/30009
dc.language.none.fl_str_mv eng
dc.publisher.none.fl_str_mv IEEE
dc.rights.cclincense.fl_str_mv http://creativecommons.org/licenses/by/4.0/
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.subject.none.fl_str_mv Agriculture 4.0
Internet of things
Sustainable production
dc.title.fl_str_mv IoT-based solution to reduce waste and promote a sustainable farming industry
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_5794
description Waste and the necessity to increase sustainability in the farming industry are some of the challenges addressed in the agri-food chain. With the potential of digital technologies, e.g., the Internet of Things (IoT) and Artificial Intelligence, to revolutionize agriculture by enabling more efficient and intelligent monitoring, system architecture and IoT nodes were developed to support relevant parameters for composing a Sustainability Index for the Bio-economy (siBIO). These nodes are scalable, modular, capable of meeting on-demand production needs, and provide a cost-effective alternative to commercial solutions or manual data collection methods. The collected data is transmitted to middleware and then stored, analyzed, and displayed on a user-friendly dashboard, providing data to siBIO and consequently contributing to a more sustainable farming industry and reducing waste of resources and food. The results include the implementation of IoT nodes in a case study involving a vineyard and an apple orchard. The nodes are successfully collecting data on environmental, operational, and energy parameters such as temperature, air humidity, soil moisture, precipitation, and water and electricity consumption for irrigation. The tests of data transmission and collection, functionality and robustness of the proposed solution were promising, offering a way to quantify the sustainability index and facilitate the exchange of agricultural information in a reliable and standardized way.
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funding.funder.name_str_mv Fundação para a Ciência e a Tecnologia
Fundação para a Ciência e a Tecnologia
Fundação para a Ciência e a Tecnologia
Fundação para a Ciência e a Tecnologia
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organization_str_mv urn:organizationAcronym:ipb
person_str_mv Stefanuto, Bruno
Funchal, Gustavo Silva
Funchal, Gustavo Silva
https://www.ciencia-id.pt/9416-F3F1-B3EF
9416-F3F1-B3EF
http://orcid.org/0000-0002-9691-9956
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Melo, Victoria
Melo, Victoria
https://www.ciencia-id.pt/6214-95F1-0036
6214-95F1-0036
http://orcid.org/0000-0003-0025-8055
0000-0003-0025-8055
Mendes, Andre C.
Mendes, Andre C.
https://www.ciencia-id.pt/6718-7AE9-0953
6718-7AE9-0953
http://orcid.org/0000-0001-6390-1250
0000-0001-6390-1250
Raimundo, Délio
Gouveia, Hélia
Coelho, João Paulo
Coelho, João Paulo
https://www.ciencia-id.pt/D61E-A586-7D4A
D61E-A586-7D4A
http://orcid.org/0000-0002-7616-1383
0000-0002-7616-1383
Leitão, Paulo
Leitão, Paulo
https://www.ciencia-id.pt/8316-8F13-DA71
8316-8F13-DA71
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publishDate 2023
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spelling engIEEEpt_PTWaste and the necessity to increase sustainability in the farming industry are some of the challenges addressed in the agri-food chain. With the potential of digital technologies, e.g., the Internet of Things (IoT) and Artificial Intelligence, to revolutionize agriculture by enabling more efficient and intelligent monitoring, system architecture and IoT nodes were developed to support relevant parameters for composing a Sustainability Index for the Bio-economy (siBIO). These nodes are scalable, modular, capable of meeting on-demand production needs, and provide a cost-effective alternative to commercial solutions or manual data collection methods. The collected data is transmitted to middleware and then stored, analyzed, and displayed on a user-friendly dashboard, providing data to siBIO and consequently contributing to a more sustainable farming industry and reducing waste of resources and food. The results include the implementation of IoT nodes in a case study involving a vineyard and an apple orchard. The nodes are successfully collecting data on environmental, operational, and energy parameters such as temperature, air humidity, soil moisture, precipitation, and water and electricity consumption for irrigation. The tests of data transmission and collection, functionality and robustness of the proposed solution were promising, offering a way to quantify the sustainability index and facilitate the exchange of agricultural information in a reliable and standardized way.application/pdfpt_PTIoT-based solution to reduce waste and promote a sustainable farming industryStefanuto, BrunoPersonalFunchal, Gustavo SilvaDSpacehttp://dspace.org/items/4db24fee-2be5-4feb-966f-acb5a7ff1a5cDSpacehttp://dspace.org/items/4db24fee-2be5-4feb-966f-acb5a7ff1a5cFunchalGustavo SilvaCiência IDhttps://www.ciencia-id.pt9416-F3F1-B3EFORCIDhttp://orcid.org0000-0002-9691-9956Scopus Author IDhttps://www.scopus.com57216637887PersonalMelo, VictoriaDSpacehttp://dspace.org/items/f09c045b-fb10-4bb8-8c45-168748aa38a5DSpacehttp://dspace.org/items/f09c045b-fb10-4bb8-8c45-168748aa38a5MeloVictóriaCiência IDhttps://www.ciencia-id.pt6214-95F1-0036ORCIDhttp://orcid.org0000-0003-0025-8055Scopus Author IDhttps://www.scopus.com57216635456PersonalMendes, Andre C.DSpacehttp://dspace.org/items/469e664f-f0ce-4ccf-a00d-21c086996765DSpacehttp://dspace.org/items/469e664f-f0ce-4ccf-a00d-21c086996765MendesAndre C.Ciência IDhttps://www.ciencia-id.pt6718-7AE9-0953ORCIDhttp://orcid.org0000-0001-6390-1250Scopus Author IDhttps://www.scopus.com54920397900Raimundo, DélioGouveia, HéliaPersonalCoelho, João PauloDSpacehttp://dspace.org/items/2861f33b-b49a-421d-9bfa-92b4304d2668DSpacehttp://dspace.org/items/2861f33b-b49a-421d-9bfa-92b4304d2668CoelhoJoão PauloCiência IDhttps://www.ciencia-id.ptD61E-A586-7D4AORCIDhttp://orcid.org0000-0002-7616-1383Researcher IDhttps://www.researcherid.comJ-6887-2013Scopus Author IDhttps://www.scopus.com55137039300PersonalLeitão, PauloDSpacehttp://dspace.org/items/68d9eb25-ad4f-439b-aeb2-35e8708644ccDSpacehttp://dspace.org/items/68d9eb25-ad4f-439b-aeb2-35e8708644ccLeitãoPauloCiência IDhttps://www.ciencia-id.pt8316-8F13-DA71ORCIDhttp://orcid.org0000-0002-2151-7944Scopus Author IDhttps://www.scopus.com35584388900HostingInstitutionOrganizationalBiblioteca Digital do IPBe-mailmailto:dspace@ipb.ptdspace@ipb.ptISBNIsPartOf979-835031161-7DOIIsPartOf10.1109/WF-IoT58464.2023.105394312024-07-09T08:25:16Z20232023-01-01T00:00:00ZHandlehttp://hdl.handle.net/10198/30009http://purl.org/coar/access_right/c_abf2open accessAgriculture 4.0Internet of thingsSustainable production4062831 bytesFundação para a Ciência e a TecnologiaResearch Centre in Digitalization and Intelligent Robotics6817 - DCRRNI IDCrossref Funder IDhttp://doi.org/10.13039/501100001871Fundação para a Ciência e a TecnologiaResearch Centre in Digitalization and Intelligent Robotics6817 - DCRRNI IDCrossref Funder IDhttp://doi.org/10.13039/501100001871Fundação para a Ciência e a TecnologiaDeployment of AI-based algorithms along the edge-to-cloud to enhance the cybersecurity in IoT applicationsCrossref Funder IDhttp://doi.org/10.13039/501100001871Fundação para a Ciência e a TecnologiaDevelopment of a modular, intelligent and distributed Digital Twin architecture towards zero defects manufacturingPOR_NORTECrossref Funder IDhttp://doi.org/10.13039/501100001871other research producthttp://purl.org/coar/resource_type/c_5794conference paper2023http://creativecommons.org/licenses/by/4.0/http://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://bibliotecadigital.ipb.pt/bitstreams/9cf23530-7d6d-498c-b0aa-168f76fd3a21/download9th IEEE World Forum on Internet of Things, WF-IoT16
spellingShingle IoT-based solution to reduce waste and promote a sustainable farming industry
Stefanuto, Bruno
Agriculture 4.0
Internet of things
Sustainable production
status SINGLETON
subject.fl_str_mv Agriculture 4.0
Internet of things
Sustainable production
title IoT-based solution to reduce waste and promote a sustainable farming industry
title_full IoT-based solution to reduce waste and promote a sustainable farming industry
title_fullStr IoT-based solution to reduce waste and promote a sustainable farming industry
title_full_unstemmed IoT-based solution to reduce waste and promote a sustainable farming industry
title_short IoT-based solution to reduce waste and promote a sustainable farming industry
title_sort IoT-based solution to reduce waste and promote a sustainable farming industry
topic Agriculture 4.0
Internet of things
Sustainable production
topic_facet Agriculture 4.0
Internet of things
Sustainable production
url http://hdl.handle.net/10198/30009
visible 1