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Proposed OLEA management system with farming monitoring processes for virgin olive oil production traceability and assessment
University of Ioannina, Greece.
University of Ioannina, Greece. (Laboratory of Distributed Micro-Computers)
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). (ISOVIS)ORCID iD: 0000-0002-9079-2376
TEI of Western Macedonia, Greece.
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2019 (English)In: Innovative Approaches and Applications for Sustainable Rural Development: 8th International Conference, HAICTA 2017, Chania, Crete, Greece, September 21-24, 2017, Selected Papers / [ed] Theodoridis, Alexandros, Ragkos, Athanasios, Salampasis, Michail, Springer, 2019, p. 325-353Chapter in book (Refereed)
Abstract [en]

This paper proposes a cloud application architecture called OLEA, for monitoring the olive oil production chain. OLEA system deployment follows adivide–and-conquer management logic, which maintains olive tree clusters. On each cluster, NFC technology is used for monitoring plant protection practices and fertilization. Apart from on-site monitoring services, the system is also equipped with virgin oil management services. It uses an OLEA system controller that interconnects with sensors on oil mills, for the procurement of quantitative and qualitative olive oil characteristics, during the industrial extraction process. OLEAsystem services and management algorithms are controlled by a cloud application server, where collected data uploads and notifications are sent to the end users using a mobile phone application. This paper presents the OLEA system technical characteristics as well as the structure of OLEA communication protocols. Furthermore, a case study of the OLEA system data mining capabilities is presented examining the application of such efforts to the improvement of systematic cultivation, branding and product exports.

Place, publisher, year, edition, pages
Springer, 2019. p. 325-353
Series
Springer Earth System Sciences, ISSN 2197-9596
Keywords [en]
Olea europaea, olive tree cultivation processes, virgin oil characteristics, Olive tree management system, virgin olive oil monitoring, olive tree traceability, NFC technology, IoT applications, data mining algorithms.
National Category
Computer Sciences Agricultural Science Information Systems
Identifiers
URN: urn:nbn:se:lnu:diva-77803DOI: 10.1007/978-3-030-02312-6_19ISBN: 978-3-030-02311-9 (print)ISBN: 978-3-030-02312-6 (electronic)OAI: oai:DiVA.org:lnu-77803DiVA, id: diva2:1248471
Available from: 2018-09-14 Created: 2018-09-14 Last updated: 2019-03-13Bibliographically approved

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Chatzimparmpas, Angelos

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  • apa
  • harvard1
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