Desarrollo de sistemas instrumentales para el diagnóstico nutricional de plantas y suelos en campo

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dc.contributor.advisorPérez Naranjo, Juan Carlos
dc.contributor.authorOspino Villalba, Karen Stefanie
dc.contributor.cvlachttps://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000558087spa
dc.contributor.googlescholarhttps://scholar.google.com/citations?user=IeXlYRoAAAAJ&hl=esspa
dc.contributor.orcid0000-0002-8728-141Xspa
dc.contributor.researchgatehttps://www.researchgate.net/profile/Karen-Ospinospa
dc.contributor.researchgroupSistemas Simbioticosspa
dc.date.accessioned2024-10-24T22:35:59Z
dc.date.available2024-10-24T22:35:59Z
dc.date.issued2024-08-23
dc.descriptionilustraciones, diagramas, fotografíasspa
dc.description.abstractThe growing global demand for food requires improved agricultural productivity and the efficient use of fertilizers, which excessively applied may possess environmental concerns. To stimulate the local development of systems to support the rational use of fertilizers, this research presents two preliminary open-source instrumental developments for crops nutritional diagnosis. The first is a 3D printing prototype coupled to a smartphone's ambient light sensor, which was evaluated to estimate the chlorophyll content in oil palm leaves (Elaeis guineensis Jacq), potato (Solanum tuberosum; L.), coffee (Coffea arabica L.), cocoa (Theobroma cacao L.), and kikuyu grass (Pennisetum clandestinum Hochst. ex Chiov.). This device presented a performance comparable to chlorophyll measurements taken with a SPAD 502™ meter or a spectrophotometer, used here as comparison gold standards. A system for analyzing nutrients based on multispectral images of leaf samples is also presented. Statistical models for leaf nutrient estimation based on light bands reflection by dried samples of cocoa (Theobroma cacao L.), rubber (Hevea brasiliensis), chrysanthemum (Dendranthema grandiflorum) and banana (Musa paradisiaca L.) indicated a reasonable estimate of 11 nutrients, with a coefficient of determination greater than 0.84 for nitrogen, phosphorous and potassium, along with a lower performance to estimate other nutrients. Not without the drawbacks tied to incipient yet open prototyping, these results are expected to stimulate the local development of technologies for less developed regions, which support the efficient use of fertilizers and agricultural productivity. Increased access to these open-source technologies would promote digital agriculture and local instrument development.eng
dc.description.abstractLa demanda creciente global de alimentos requiere mejorar la productividad agrícola y el uso eficiente de fertilizantes, los cuales, cuando son aplicados en exceso, impactan negativamente el medio ambiente. Para estimular el desarrollo local de sistemas que apoyen el uso racional de fertilizantes, esta investigación presenta dos desarrollos instrumentales preliminares de código abierto para el diagnóstico nutricional de cultivos. El primero es un prototipo de impresión 3D acoplado al sensor de luz ambiental de un teléfono inteligente, que se evaluó para estimar el contenido de clorofila en hojas de palma de aceite (Elaeis guineensis Jacq), papa (Solanum tuberosum; L.), café (Coffea arabica L.), cacao (Theobroma cacao L.) y pasto kikuyo (Pennisetum clandestinum Hochst. ex Chiov.). Este dispositivo presentó un desempeño comparable al de mediciones de clorofila con un medidor SPAD 502™ o con un espectrofotómetro, usados como estándar de comparación. También se presenta un sistema para analizar nutrientes basado en imágenes multiespectrales de muestras foliares. Modelos estadísticos basados en reflexión de bandas de luz por muestras secas de cacao (Theobroma cacao L.), caucho (Hevea brasiliensis), crisantemo (Dendranthema grandiflorum) y banano (Musa paradisiaca L.) indicaron una estimación razonable de 11 nutrientes, con coeficiente de determinación superior a 0,84 para nitrógeno, fósforo y potasio, y con un desempeño inferior para estimar otros nutrientes. Aún con limitaciones asociadas a prototipos incipientes pero abiertos, con estos resultados se espera estimular el desarrollo local de tecnologías para la agricultura digital en regiones menos desarrolladas, que apoyen el uso eficiente de fertilizantes y la productividad agrícola. (Texto tomado de la fuente)
dc.description.degreelevelDoctoradospa
dc.description.degreenameDoctor en Ciencias Agrariasspa
dc.description.researchareaDesarrollo y Adaptación de Instrumentación para la Investigaciónspa
dc.format.extentxiv, 113 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/87051
dc.language.isospaspa
dc.publisherUniversidad Nacional de Colombiaspa
dc.publisher.branchUniversidad Nacional de Colombia - Sede Medellínspa
dc.publisher.facultyFacultad de Ciencias Agrariasspa
dc.publisher.placeMedellín, Colombiaspa
dc.publisher.programMedellín - Ciencias Agrarias - Doctorado en Ciencias Agrariasspa
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dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.licenseAtribución-NoComercial-SinDerivadas 4.0 Internacionalspa
dc.subject.agrovocImagen multiespectralspa
dc.subject.agrovocMultispectral imageryeng
dc.subject.agrovocAgricultura digitalspa
dc.subject.agrovocDigital agricultureeng
dc.subject.ddc630 - Agricultura y tecnologías relacionadasspa
dc.subject.ddc580 - Plantasspa
dc.subject.ddc630 - Agricultura y tecnologías relacionadas::631 - Técnicas específicas, aparatos, equipos, materialesspa
dc.subject.ddc630 - Agricultura y tecnologías relacionadas::633 - Cultivos de campo y de plantaciónspa
dc.subject.proposalAnálisis de plantasspa
dc.subject.proposalimágenes multiespectralesspa
dc.subject.proposalhardware abiertospa
dc.subject.proposalagricultura digitalspa
dc.subject.proposalsensores de teléfonos inteligentesspa
dc.subject.proposalimpresión 3D en agriculturaspa
dc.subject.proposalmonitoreo de cultivosspa
dc.subject.proposalPlant analysiseng
dc.subject.proposalmultispectral imagingeng
dc.subject.proposalopen hardwareeng
dc.subject.proposaldigital farmingeng
dc.subject.proposalSmartphone sensorseng
dc.subject.proposal3D printing in agricultureeng
dc.subject.proposalCrop sensingoeng
dc.subject.unamPlantas -- Análisisspa
dc.subject.unamPlants -- Analysiseng
dc.titleDesarrollo de sistemas instrumentales para el diagnóstico nutricional de plantas y suelos en campospa
dc.title.translatedDevelopment of instrumental systems for the nutritional diagnosis of plants and soils in the fieldeng
dc.typeTrabajo de grado - Doctoradospa
dc.type.coarhttp://purl.org/coar/resource_type/c_db06spa
dc.type.coarversionhttp://purl.org/coar/version/c_dc82b40f9837b551spa
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dc.type.driverinfo:eu-repo/semantics/doctoralThesisspa
dc.type.redcolhttp://purl.org/redcol/resource_type/TDspa
dc.type.versioninfo:eu-repo/semantics/acceptedVersionspa
dcterms.audience.professionaldevelopmentBibliotecariosspa
dcterms.audience.professionaldevelopmentEstudiantesspa
dcterms.audience.professionaldevelopmentInvestigadoresspa
dcterms.audience.professionaldevelopmentMaestrosspa
dcterms.audience.professionaldevelopmentPersonal de apoyo escolarspa
dcterms.audience.professionaldevelopmentPúblico generalspa
oaire.accessrightshttp://purl.org/coar/access_right/c_abf2spa
oaire.awardtitleConsolidación de capacidades de ciencia, tecnología e innovación en el sector agropecuario del departamento del Cesarspa
oaire.fundernameGobernación del Cesarspa
oaire.fundernameUniversidad Nacional de Colombiaspa

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Doctorado en Ciencias Agrarias