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

2023Conference paper Open access
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dc.contributor.authorStefanuto, Bruno
dc.contributor.authorFunchal, Gustavo Silva
dc.contributor.authorMelo, Victoria
dc.contributor.authorMendes, Andre C.
dc.contributor.authorRaimundo, Délio
dc.contributor.authorGouveia, Hélia
dc.contributor.authorCoelho, João Paulo
dc.contributor.authorLeitão, Paulo
dc.date.accessioned2024-07-09T08:25:16Z
dc.date.available2024-07-09T08:25:16Z
dc.date.issued2023
dc.description.abstractWaste 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.pt_PT
dc.description.sponsorshipThis work has been conducted under the project BIOMA Bioeconomy integrated solutions for the mobilization of the Agro-food market (POCI-01-0247-FEDER-046112). This work has been also supported by the Foundation for Sci- ence and Technology (FCT, Portugal) through national funds FCT/MCTES (PIDDAC) to CeDRI (UIDB/05757/2020 and UIDP/05757/2020) and SusTEC (LA/P/0007/2021). Authors Gustavo Funchal and Vict oria Melo thank the FCT for the PhD Grants 2022.13712.BD and 2022.13868.BD, respectively.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationStefanuto, Bruno; Funchal, Gustavo Silva; Melo, Victória; Mendes, André C.; Raimundo, Délio; Gouveia, Hélia; Coelho, João Paulo; Leitão, Paulo (2023). IoT-based solution to reduce waste and promote a sustainable farming industry. In 9th IEEE World Forum on Internet of Things (WF-IoT). Aveiro: IEEE. p. 1-6. ISBN 979-8-3503-1161-7pt_PT
dc.identifier.doi10.1109/WF-IoT58464.2023.10539431pt_PT
dc.identifier.isbn979-835031161-7
dc.identifier.urihttp://hdl.handle.net/10198/30009
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIEEEpt_PT
dc.relationLA/P/0007/2021pt_PT
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relationDeployment of AI-based algorithms along the edge-to-cloud to enhance the cybersecurity in IoT applications
dc.relationDevelopment of a modular, intelligent and distributed Digital Twin architecture towards zero defects manufacturing
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectAgriculture 4.0pt_PT
dc.subjectInternet of thingspt_PT
dc.subjectSustainable productionpt_PT
dc.titleIoT-based solution to reduce waste and promote a sustainable farming industrypt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardTitleDeployment of AI-based algorithms along the edge-to-cloud to enhance the cybersecurity in IoT applications
oaire.awardTitleDevelopment of a modular, intelligent and distributed Digital Twin architecture towards zero defects manufacturing
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F05757%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//2022.13712.BD/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/POR_NORTE/2022.13868.BD/PT
oaire.citation.endPage6pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.title9th IEEE World Forum on Internet of Things, WF-IoTpt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStreamPOR_NORTE
person.familyNameFunchal
person.familyNameMelo
person.familyNameMendes
person.familyNameCoelho
person.familyNameLeitão
person.givenNameGustavo Silva
person.givenNameVictória
person.givenNameAndre C.
person.givenNameJoão Paulo
person.givenNamePaulo
person.identifierhttps://scholar.google.com/citations?user=eegfgI4AAAAJ&hl=pt-PT&oi=ao
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person.identifier.ciencia-id8316-8F13-DA71
person.identifier.orcid0000-0002-9691-9956
person.identifier.orcid0000-0003-0025-8055
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person.identifier.ridJ-6887-2013
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project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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