Prospective user interfaces for decision-making processes in multidimensional agriculture
| cic.institucionOrigen | Laboratorio de Investigación y Formación en Informática Avanzada (LIFIA) | |
| cic.isFulltext | SI | |
| cic.isPeerReviewed | SI | |
| cic.lugarDesarrollo | Laboratorio de Investigación y Formación en Informática Avanzada (LIFIA) | |
| cic.parentType | Objeto de conferencia | |
| cic.version | Aceptada | |
| dc.date.accessioned | 2025-08-28T12:05:19Z | |
| dc.date.available | 2025-08-28T12:05:19Z | |
| dc.identifier.uri | https://digital.cic.gba.gob.ar/handle/11746/12543 | |
| dc.title | Prospective user interfaces for decision-making processes in multidimensional agriculture | en |
| dc.type | Documento de conferencia | |
| dcterms.abstract | Prospective user interfaces play a crucial role in supporting decision-making processes within the multifaceted landscape of agriculture. This study aims to develop a software tool that integrates prospective user interfaces with the Analytic Hierarchy Process (AHP) model to assist in selecting agrochemicals based on criteria such as price, environmental impact, and toxicity. By leveraging dynamic visual tools and interactive interfaces, the proposed system empowers farmers and stakeholders to anticipate and evaluate future scenarios effectively in the context of diverse agricultural dimensions. The integration of prospective user interfaces with the AHP model enhances decisionmaking by providing a structured framework to prioritize criteria and alternatives. This facilitates informed and sustainable agricultural practices while addressing complex challenges related to environmental impact and economic viability. The software tool will enable users to input their preferences, weigh different criteria according to their importance, and generate recommendations based on the AHP analysis. This study highlights the importance of technological innovation in advancing decision-making capabilities within multidimensional agriculture, ultimately contributing to more efficient and responsible agricultural practices. | en |
| dcterms.creator.author | Valencia Arango, Erika Andrea | |
| dcterms.creator.author | Fernández, Alejandro | |
| dcterms.creator.author | Collazos, Cesar | |
| dcterms.identifier.other | DOI: 10.1007/978-3-031-91690-8_14 | |
| dcterms.identifier.other | ISBN: 978-3-031-91690-8 | |
| dcterms.isPartOf.item | Collaboration in Knowledge Discovery and Decision Making. Decisioning 2024 | |
| dcterms.isPartOf.series | Decisioning 2024 (Colombia, 4 al 6 de junio de 2024) | |
| dcterms.issued | 2025 | |
| dcterms.language | Inglés | |
| dcterms.license | Attribution-NonCommercial-ShareAlike 4.0 International (BY-NC-SA 4.0) | |
| dcterms.subject | Analytic hierarchy process | en |
| dcterms.subject | decision-making | en |
| dcterms.subject | multifunctional agriculture | en |
| dcterms.subject | human-computer interaction | en |
| dcterms.subject | prospective user interface | en |
| dcterms.subject.materia | Ciencias de la Computación e Información |
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