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
- Institución
- Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
- OAI Identificador
- oai:digital.cic.gba.gob.ar:11746/12543
Ver los metadatos del registro completo
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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 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
format |
conferenceObject |
status_str |
publishedVersion |
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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openAccess |
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http://creativecommons.org/licenses/by-nc-sa/4.0/ |
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application/pdf |
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reponame:CIC Digital (CICBA) instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Aires instacron:CICBA |
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CIC Digital (CICBA) |
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CIC Digital (CICBA) |
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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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12.982451 |