Dealing with Uncertainties in IT Solutions for Agriculture

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cic.institucionOrigenLaboratorio de Investigación y Formación en Informática Avanzada (LIFIA)
cic.isFulltextSI
cic.isPeerReviewedSI
cic.lugarDesarrolloLaboratorio de Investigación y Formación en Informática Avanzada (LIFIA)
cic.parentTypeLibro
dc.date.accessioned2025-02-25T12:13:03Z
dc.date.available2025-02-25T12:13:03Z
dc.identifier.urihttps://digital.cic.gba.gob.ar/handle/11746/12422
dc.titleDealing with Uncertainties in IT Solutions for Agricultureen
dc.typeParte de libro
dcterms.abstractTechnology is essential for the improvement and efficiency of activities in the agricultural environment. Nevertheless, farmers and IT’s worlds are distant. Usually, IT services fail to provide the correct solution and farmers are reluctant to incorporate new IT advances. IT teams need to acquire agricultural knowledge and language in order to communicate, to reduce the distance, and cooperate. Nevertheless, during this process and particularly, in agriculture, there are many uncertainties. If they are not clearified, it will not be possible to provide the right IT solution. These un-certainties are translated as a lack of precision in the requirements specifica-tions. Sometimes, it is as easy as elicit more information from the stake-holders to improve the specification. In some other situations, the stakeholders have different points of view and they need to reach a concen-sus. These uncertainties are hard to identify. IT teams and farmers must speak the same technical and specific language and the IT team needs a complete and exhaustive specification about how software applications must react. Agriculture is a biological environment with many rules and de-cisions that are not easy to make explicit. Therefore, it is important to in-volve a group of farmers as with complementary and different point of view. Thus, this article proposes an approach to deal with uncertainties in order to provide the unambiguous and complete specification. The approach relies on capturing knowledge through scenarios. It consists of three main steps to obtain the scenarios: (i) a collaborative knowledge acquisition, (ii) scenarios description and analysis, and (iii) group decision support.en
dcterms.creator.authorAntonelli, Leandro
dcterms.creator.authorCollazos, Cesar
dcterms.creator.authorZarate, Pascale
dcterms.creator.authorAgredo Delgado, Vanessa
dcterms.creator.authorCamilleri, Guy
dcterms.creator.authorFernández, Alejandro
dcterms.creator.authorHernandez, Jorge E.
dcterms.creator.authorTorres, Diego
dcterms.identifier.isbn978-3-031-70745-2
dcterms.identifier.otherDOI: 10.1007/978-3-031-70745-2_10
dcterms.isPartOf.itemAgriculture Value Chain — Challenges and Trends in Academia and Industry
dcterms.issued2025-02
dcterms.languageEspañol
dcterms.licenseAttribution-NonCommercial-ShareAlike 4.0 International (BY-NC-SA 4.0)
dcterms.publisherSpringer, Cham
dcterms.subjectagricultural environmenten
dcterms.subjecttechnologyen
dcterms.subjectuncertaintiesen
dcterms.subjectcapturing knowledgeen
dcterms.subjectscenariosen
dcterms.subject.materiaCiencias de la Computación e Información

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