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

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dc.contributor.advisorCárdenas Herrera, Pedro Fabián
dc.contributor.authorJiménez López, Andrés Fernando
dc.contributor.financerGobernación de Boyacá
dc.contributor.researchgroupUNROBOT-Grupo de Plataformas Robóticasspa
dc.date.accessioned2021-08-12T15:29:51Z
dc.date.available2021-08-12T15:29:51Z
dc.date.issued2020
dc.descriptionilustraciones, fotografías, gráficas, mapas, tablasspa
dc.description.abstractEl 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)spa
dc.description.abstractThe 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)eng
dc.description.degreelevelDoctoradospa
dc.description.degreenameDoctor en Ingeniería - Ingeniería Mecánica y Mecatrónicaspa
dc.description.researchareaAutomatización - Agricultura de Precisiónspa
dc.description.researchareaIngeniería de Automatización, Control y Mecatrónicaspa
dc.format.extent321 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.identifier.instnameUniversidad Nacional de Colombiaspa
dc.identifier.reponameRepositorio Institucional Universidad Nacional de Colombiaspa
dc.identifier.repourlhttps://repositorio.unal.edu.co/spa
dc.identifier.urihttps://repositorio.unal.edu.co/handle/unal/79927
dc.language.isospaspa
dc.publisherUniversidad Nacional de Colombiaspa
dc.publisher.branchUniversidad Nacional de Colombia - Sede Bogotáspa
dc.publisher.departmentDepartamento de Ingeniería Mecánica y Mecatrónicaspa
dc.publisher.facultyFacultad de Ingenieríaspa
dc.publisher.placeBogotá, Colombiaspa
dc.publisher.programBogotá - Ingeniería - Doctorado en Ingeniería - Ingeniería Mecánica y Mecatrónicaspa
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dc.rightsDerechos reservados al autor, 2021spa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.licenseAtribución-NoComercial-SinDerivadas 4.0 Internacionalspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/spa
dc.subject.agrovocRiego automático
dc.subject.agrovocAutomatic irrigation
dc.subject.ddc630 - Agricultura y tecnologías relacionadasspa
dc.subject.proposalAgente inteligentespa
dc.subject.proposalAgricultura de precisiónspa
dc.subject.proposalInteligencia artificialspa
dc.subject.proposalModelo basado en agentesspa
dc.subject.proposalMulti-agentespa
dc.subject.proposalRiego de precisiónspa
dc.subject.proposalAgent based modeleng
dc.subject.proposalArtificial intelligenceeng
dc.subject.proposalIntelligent agenteng
dc.subject.proposalMulti-agenteng
dc.subject.proposalPrecision agricultureeng
dc.subject.proposalPrecision irrigationeng
dc.titleModelo basado en agentes inteligentes como soporte a la gestión del riego en cultivos agrícolasspa
dc.title.translatedIntelligent agent-based model to support irrigation management in agricultural cropseng
dc.typeTrabajo de grado - Doctoradospa
dc.type.coarhttp://purl.org/coar/resource_type/c_db06spa
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aaspa
dc.type.contentTextspa
dc.type.driverinfo:eu-repo/semantics/doctoralThesisspa
dc.type.redcolhttp://purl.org/redcol/resource_type/TDspa
dc.type.versioninfo:eu-repo/semantics/acceptedVersionspa
dcterms.audienceEspecializadaspa
oaire.accessrightshttp://purl.org/coar/access_right/c_abf2spa
oaire.awardtitleModelo Basado en Agentes Inteligentes como soporte a la gestión del riego en cultivos agrícolasspa
oaire.fundernameGobernación de Boyacáspa

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