Prospective user interfaces for decision-making processes in multidimensional agriculture

Autores
Valencia Arango, Erika Andrea; Fernández, Alejandro; Collazos, Cesar
Año de publicación
2025
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
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.
Materia
Ciencias de la Computación e Información
Analytic hierarchy process
decision-making
multifunctional agriculture
human-computer interaction
prospective user interface
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
CIC Digital (CICBA)
Institución
Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
OAI Identificador
oai:digital.cic.gba.gob.ar:11746/12543

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network_acronym_str CICBA
repository_id_str 9441
network_name_str CIC Digital (CICBA)
spelling Prospective user interfaces for decision-making processes in multidimensional agricultureValencia Arango, Erika AndreaFernández, AlejandroCollazos, CesarCiencias de la Computación e InformaciónAnalytic hierarchy processdecision-makingmultifunctional agriculturehuman-computer interactionprospective user interfaceProspective 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.2025info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttps://digital.cic.gba.gob.ar/handle/11746/12543enginfo:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-031-91690-8_14info:eu-repo/semantics/altIdentifier/isbn/978-3-031-91690-8info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/reponame:CIC Digital (CICBA)instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Airesinstacron:CICBA2025-10-23T11:14:51Zoai:digital.cic.gba.gob.ar:11746/12543Institucionalhttp://digital.cic.gba.gob.arOrganismo científico-tecnológicoNo correspondehttp://digital.cic.gba.gob.ar/oai/snrdmarisa.degiusti@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:94412025-10-23 11:14:52.278CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Airesfalse
dc.title.none.fl_str_mv Prospective user interfaces for decision-making processes in multidimensional agriculture
title Prospective user interfaces for decision-making processes in multidimensional agriculture
spellingShingle Prospective user interfaces for decision-making processes in multidimensional agriculture
Valencia Arango, Erika Andrea
Ciencias de la Computación e Información
Analytic hierarchy process
decision-making
multifunctional agriculture
human-computer interaction
prospective user interface
title_short Prospective user interfaces for decision-making processes in multidimensional agriculture
title_full Prospective user interfaces for decision-making processes in multidimensional agriculture
title_fullStr Prospective user interfaces for decision-making processes in multidimensional agriculture
title_full_unstemmed Prospective user interfaces for decision-making processes in multidimensional agriculture
title_sort Prospective user interfaces for decision-making processes in multidimensional agriculture
dc.creator.none.fl_str_mv Valencia Arango, Erika Andrea
Fernández, Alejandro
Collazos, Cesar
author Valencia Arango, Erika Andrea
author_facet Valencia Arango, Erika Andrea
Fernández, Alejandro
Collazos, Cesar
author_role author
author2 Fernández, Alejandro
Collazos, Cesar
author2_role author
author
dc.subject.none.fl_str_mv Ciencias de la Computación e Información
Analytic hierarchy process
decision-making
multifunctional agriculture
human-computer interaction
prospective user interface
topic Ciencias de la Computación e Información
Analytic hierarchy process
decision-making
multifunctional agriculture
human-computer interaction
prospective user interface
dc.description.none.fl_txt_mv 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.
description 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.
publishDate 2025
dc.date.none.fl_str_mv 2025
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info:eu-repo/semantics/publishedVersion
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dc.identifier.none.fl_str_mv https://digital.cic.gba.gob.ar/handle/11746/12543
url https://digital.cic.gba.gob.ar/handle/11746/12543
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-031-91690-8_14
info:eu-repo/semantics/altIdentifier/isbn/978-3-031-91690-8
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
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instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
instacron:CICBA
reponame_str CIC Digital (CICBA)
collection CIC Digital (CICBA)
instname_str Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
instacron_str CICBA
institution CICBA
repository.name.fl_str_mv CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
repository.mail.fl_str_mv marisa.degiusti@sedici.unlp.edu.ar
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