Modelo basado en agentes inteligentes como soporte a la gestión del riego en cultivos agrícolas

ilustraciones, fotografías, gráficas, mapas, tablas

Autores:: Jiménez López, Andrés Fernando

Tipo de recurso:: Doctoral thesis

Fecha de publicación:: 2020

Institución:: Universidad Nacional de Colombia

Repositorio:: Universidad Nacional de Colombia

Idioma:: spa

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network_acronym_str	UNACIONAL2
network_name_str	Universidad Nacional de Colombia
repository_id_str
dc.title.spa.fl_str_mv	Modelo basado en agentes inteligentes como soporte a la gestión del riego en cultivos agrícolas
dc.title.translated.eng.fl_str_mv	Intelligent agent-based model to support irrigation management in agricultural crops
title	Modelo basado en agentes inteligentes como soporte a la gestión del riego en cultivos agrícolas
spellingShingle	Modelo basado en agentes inteligentes como soporte a la gestión del riego en cultivos agrícolas 630 - Agricultura y tecnologías relacionadas Riego automático Automatic irrigation Agente inteligente Agricultura de precisión Inteligencia artificial Modelo basado en agentes Multi-agente Riego de precisión Agent based model Artificial intelligence Intelligent agent Multi-agent Precision agriculture Precision irrigation
title_short	Modelo basado en agentes inteligentes como soporte a la gestión del riego en cultivos agrícolas
title_full	Modelo basado en agentes inteligentes como soporte a la gestión del riego en cultivos agrícolas
title_fullStr	Modelo basado en agentes inteligentes como soporte a la gestión del riego en cultivos agrícolas
title_full_unstemmed	Modelo basado en agentes inteligentes como soporte a la gestión del riego en cultivos agrícolas
title_sort	Modelo basado en agentes inteligentes como soporte a la gestión del riego en cultivos agrícolas
dc.creator.fl_str_mv	Jiménez López, Andrés Fernando
dc.contributor.advisor.none.fl_str_mv	Cárdenas Herrera, Pedro Fabián
dc.contributor.author.none.fl_str_mv	Jiménez López, Andrés Fernando
dc.contributor.financer.none.fl_str_mv	Gobernación de Boyacá
dc.contributor.researchgroup.spa.fl_str_mv	UNROBOT-Grupo de Plataformas Robóticas
dc.subject.ddc.spa.fl_str_mv	630 - Agricultura y tecnologías relacionadas
topic	630 - Agricultura y tecnologías relacionadas Riego automático Automatic irrigation Agente inteligente Agricultura de precisión Inteligencia artificial Modelo basado en agentes Multi-agente Riego de precisión Agent based model Artificial intelligence Intelligent agent Multi-agent Precision agriculture Precision irrigation
dc.subject.agrovoc.none.fl_str_mv	Riego automático Automatic irrigation
dc.subject.proposal.spa.fl_str_mv	Agente inteligente Agricultura de precisión Inteligencia artificial Modelo basado en agentes Multi-agente Riego de precisión
dc.subject.proposal.eng.fl_str_mv	Agent based model Artificial intelligence Intelligent agent Multi-agent Precision agriculture Precision irrigation
description	ilustraciones, fotografías, gráficas, mapas, tablas
publishDate	2020
dc.date.issued.none.fl_str_mv	2020
dc.date.accessioned.none.fl_str_mv	2021-08-12T15:29:51Z
dc.date.available.none.fl_str_mv	2021-08-12T15:29:51Z
dc.type.spa.fl_str_mv	Trabajo de grado - Doctorado
dc.type.driver.spa.fl_str_mv	info:eu-repo/semantics/doctoralThesis
dc.type.version.spa.fl_str_mv	info:eu-repo/semantics/acceptedVersion
dc.type.coar.spa.fl_str_mv	http://purl.org/coar/resource_type/c_db06
dc.type.content.spa.fl_str_mv	Text
dc.type.redcol.spa.fl_str_mv	http://purl.org/redcol/resource_type/TD
format	http://purl.org/coar/resource_type/c_db06
status_str	acceptedVersion
dc.identifier.uri.none.fl_str_mv	https://repositorio.unal.edu.co/handle/unal/79927
dc.identifier.instname.spa.fl_str_mv	Universidad Nacional de Colombia
dc.identifier.reponame.spa.fl_str_mv	Repositorio Institucional Universidad Nacional de Colombia
dc.identifier.repourl.spa.fl_str_mv	https://repositorio.unal.edu.co/
url	https://repositorio.unal.edu.co/handle/unal/79927 https://repositorio.unal.edu.co/
identifier_str_mv	Universidad Nacional de Colombia Repositorio Institucional Universidad Nacional de Colombia
dc.language.iso.spa.fl_str_mv	spa
language	spa
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dc.format.extent.spa.fl_str_mv	321 páginas
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dc.publisher.spa.fl_str_mv	Universidad Nacional de Colombia
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spelling	Atribución-NoComercial-SinDerivadas 4.0 InternacionalDerechos reservados al autor, 2021http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Cárdenas Herrera, Pedro Fabiánf2a5d883628e057fb0a0370af163e714Jiménez López, Andrés Fernandob7f6e5b7465d291fc4fd0d3236e7758dGobernación de BoyacáUNROBOT-Grupo de Plataformas Robóticas2021-08-12T15:29:51Z2021-08-12T15:29:51Z2020https://repositorio.unal.edu.co/handle/unal/79927Universidad Nacional de ColombiaRepositorio Institucional Universidad Nacional de Colombiahttps://repositorio.unal.edu.co/ilustraciones, fotografías, gráficas, mapas, tablasEl uso eficiente del agua es fundamental para la sostenibilidad de la agricultura y la seguridad alimentaria, al reducir la vulnerabilidad en la producción de cultivos, causada por la escasez o el desperdicio del recurso. El objetivo principal de esta tesis fue desarrollar un modelo basado en agentes inteligentes como soporte a la gestión del riego en cultivos agrícolas. Se buscó avanzar más allá de la simulación de un sistema multi-agente a su implementación en un escenario real. El modelo se implementó en el Distrito de Riego de Usochicamocha, ubicado en Boyacá, Colombia. Se desarrolló un agente ciber-físico de riego que permite determinar y aplicar las cantidades de agua en los cultivos de acuerdo con criterios técnicos y un modelo basado en agentes (MBA) para la distribución del agua utilizando funciones de utilidad basadas en el estado de los cultivos y aspectos sociales entre los agentes de la vecindad. En los resultados, el sistema permitió mantener la humedad del suelo dentro de los valores del déficit máximo permitido para varios cultivos. En conclusión, el modelo propuesto es promisorio en el diseño de sistemas distribuidos para el manejo del riego agrícola, ya que integra múltiples tecnologías y permite el manejo del riego a nivel de finca y de distrito de riego. Además, se ha demostrado, que se puede mejorar la eficiencia en el uso del agua, incorporando inteligencia artificial, sistemas multi-agente e internet de las cosas en el riego de precisión, de acuerdo con las variaciones espacio-temporales del sistema suelo-planta-atmósfera. (Texto tomado de la fuente)The efficient use of water is essential for the sustainability of agriculture and food security, by reducing vulnerability in crop production, caused by scarcity or waste of the resource. The main objective of this thesis was to develop a model based on intelligent agents to support irrigation management in agricultural crops. It was sought to advance beyond the simulation of a multi-agent system to its implementation in a real scenario. The model was implemented in the Usochicamocha Irrigation District, located in Boyacá, Colombia. A cyber-physical irrigation agent was developed that allows determining and applying the amounts of water in crops according to technical criteria and an agent-based model (MBA) for the distribution of water was established using utility functions based on the state of the crops and social aspects among the agents of the neighborhood. In the results, the system allowed to maintain soil moisture within the values of the maximum deficit allowed for various crops. In conclusion, the proposed model is promising in the design of distributed systems for agricultural irrigation management since it integrates multiple technologies and allows irrigation management at the farm and irrigation district level. In addition, it was proved that efficiency in the use of water can be improved, by incorporating artificial intelligence, multi-agent systems and the internet of things in precision irrigation, according to the spatio-temporal variations of the soil-plant-atmosphere system. (Text taken from source)DoctoradoDoctor en Ingeniería - Ingeniería Mecánica y MecatrónicaAutomatización - Agricultura de PrecisiónIngeniería de Automatización, Control y Mecatrónica321 páginasapplication/pdfspaUniversidad Nacional de ColombiaBogotá - Ingeniería - Doctorado en Ingeniería - Ingeniería Mecánica y MecatrónicaDepartamento de Ingeniería Mecánica y MecatrónicaFacultad de IngenieríaBogotá, ColombiaUniversidad Nacional de Colombia - Sede Bogotá630 - Agricultura y tecnologías relacionadasRiego automáticoAutomatic irrigationAgente inteligenteAgricultura de precisiónInteligencia artificialModelo basado en agentesMulti-agenteRiego de precisiónAgent based modelArtificial intelligenceIntelligent agentMulti-agentPrecision agriculturePrecision irrigationModelo basado en agentes inteligentes como soporte a la gestión del riego en cultivos agrícolasIntelligent agent-based model to support irrigation management in agricultural cropsTrabajo de grado - Doctoradoinfo:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_db06Texthttp://purl.org/redcol/resource_type/TDAbdullah, S.S., & Malek, M.A. 2016. 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IEEE.EspecializadaModelo Basado en Agentes Inteligentes como soporte a la gestión del riego en cultivos agrícolasGobernación de BoyacáCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8805https://repositorio.unal.edu.co/bitstream/unal/79927/3/license_rdf4460e5956bc1d1639be9ae6146a50347MD53LICENSElicense.txtlicense.txttext/plain; charset=utf-83964https://repositorio.unal.edu.co/bitstream/unal/79927/1/license.txtcccfe52f796b7c63423298c2d3365fc6MD51ORIGINAL74184838.2020.pdf74184838.2020.pdfTesis de Doctorado en Ingeniería - Ingeniería Mecánica y Mecatrónicaapplication/pdf13282441https://repositorio.unal.edu.co/bitstream/unal/79927/2/74184838.2020.pdfabfcbe1d5a20268a0976a99d981bbf19MD52THUMBNAIL74184838.2020.pdf.jpg74184838.2020.pdf.jpgGenerated Thumbnailimage/jpeg3843https://repositorio.unal.edu.co/bitstream/unal/79927/4/74184838.2020.pdf.jpg65cad70a35983dafe15e1745ea164044MD54unal/79927oai:repositorio.unal.edu.co:unal/799272024-07-27 00:14:58.874Repositorio Institucional 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Modelo basado en agentes inteligentes como soporte a la gestión del riego en cultivos agrícolas

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