Evaluación de herramientas de análisis de datos espectrales para la identificación y cuantificación de la madurez temprana en papa
ilustraciones, fotografías, diagramas, mapas
- Autores:
-
Leon Rueda, William Alfonso
- Tipo de recurso:
- Fecha de publicación:
- 2023
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/84484
- Palabra clave:
- Análisis de datos
Madurez
data analysis
maturity
Verticillium
Métodos de clasificación
Sensores remotos
Aprendizaje automático
Bandas espectrales informativas
Detección indirecta de enfermedades
Detección indirecta
Classification methods
Remote sensing
Machine learning
Informative spectral bands
Indirect detection
- Rights
- openAccess
- License
- Atribución-NoComercial-SinDerivadas 4.0 Internacional
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oai:repositorio.unal.edu.co:unal/84484 |
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UNACIONAL2 |
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| dc.title.spa.fl_str_mv |
Evaluación de herramientas de análisis de datos espectrales para la identificación y cuantificación de la madurez temprana en papa |
| dc.title.translated.eng.fl_str_mv |
Evaluation of spectral data analysis tools for the identification and quantification of early maturity in potato |
| title |
Evaluación de herramientas de análisis de datos espectrales para la identificación y cuantificación de la madurez temprana en papa |
| spellingShingle |
Evaluación de herramientas de análisis de datos espectrales para la identificación y cuantificación de la madurez temprana en papa Análisis de datos Madurez data analysis maturity Verticillium Métodos de clasificación Sensores remotos Aprendizaje automático Bandas espectrales informativas Detección indirecta de enfermedades Detección indirecta Classification methods Remote sensing Machine learning Informative spectral bands Indirect detection |
| title_short |
Evaluación de herramientas de análisis de datos espectrales para la identificación y cuantificación de la madurez temprana en papa |
| title_full |
Evaluación de herramientas de análisis de datos espectrales para la identificación y cuantificación de la madurez temprana en papa |
| title_fullStr |
Evaluación de herramientas de análisis de datos espectrales para la identificación y cuantificación de la madurez temprana en papa |
| title_full_unstemmed |
Evaluación de herramientas de análisis de datos espectrales para la identificación y cuantificación de la madurez temprana en papa |
| title_sort |
Evaluación de herramientas de análisis de datos espectrales para la identificación y cuantificación de la madurez temprana en papa |
| dc.creator.fl_str_mv |
Leon Rueda, William Alfonso |
| dc.contributor.advisor.none.fl_str_mv |
Ramírez Gil, Joaquín Guillermo Gómez Caro, Sandra |
| dc.contributor.author.none.fl_str_mv |
Leon Rueda, William Alfonso |
| dc.contributor.researchgroup.spa.fl_str_mv |
Biogénesis |
| dc.contributor.orcid.spa.fl_str_mv |
William Alfonso Leon Rueda [0000000310511093] |
| dc.subject.agrovoc.spa.fl_str_mv |
Análisis de datos Madurez |
| topic |
Análisis de datos Madurez data analysis maturity Verticillium Métodos de clasificación Sensores remotos Aprendizaje automático Bandas espectrales informativas Detección indirecta de enfermedades Detección indirecta Classification methods Remote sensing Machine learning Informative spectral bands Indirect detection |
| dc.subject.agrovoc.eng.fl_str_mv |
data analysis maturity |
| dc.subject.agrovoc.none.fl_str_mv |
Verticillium |
| dc.subject.proposal.spa.fl_str_mv |
Métodos de clasificación Sensores remotos Aprendizaje automático Bandas espectrales informativas Detección indirecta de enfermedades Detección indirecta |
| dc.subject.proposal.eng.fl_str_mv |
Classification methods Remote sensing Machine learning Informative spectral bands Indirect detection |
| description |
ilustraciones, fotografías, diagramas, mapas |
| publishDate |
2023 |
| dc.date.accessioned.none.fl_str_mv |
2023-08-08T15:31:11Z |
| dc.date.available.none.fl_str_mv |
2023-08-08T15:31:11Z |
| dc.date.issued.none.fl_str_mv |
2023-08-02 |
| dc.type.spa.fl_str_mv |
Trabajo de grado - Maestría |
| dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/masterThesis |
| dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/acceptedVersion |
| dc.type.content.spa.fl_str_mv |
Text |
| dc.type.redcol.spa.fl_str_mv |
http://purl.org/redcol/resource_type/TM |
| status_str |
acceptedVersion |
| dc.identifier.uri.none.fl_str_mv |
https://repositorio.unal.edu.co/handle/unal/84484 |
| 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/84484 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 |
| dc.relation.references.spa.fl_str_mv |
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Atribución-NoComercial-SinDerivadas 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Ramírez Gil, Joaquín Guillermo057a48c561d6f5700e30039433833652Gómez Caro, Sandra77d745816cfeb1efd84c4b544e809c49Leon Rueda, William Alfonso019139c0464708950a828494a7e1c263BiogénesisWilliam Alfonso Leon Rueda [0000000310511093]2023-08-08T15:31:11Z2023-08-08T15:31:11Z2023-08-02https://repositorio.unal.edu.co/handle/unal/84484Universidad Nacional de ColombiaRepositorio Institucional Universidad Nacional de Colombiahttps://repositorio.unal.edu.co/ilustraciones, fotografías, diagramas, mapasEl cultivo de papa es afectado por diferentes enfermedades que disminuyen su rendimiento, entre ellas, los problemas asociados a madurez temprana (MT) causada por Verticillium spp. han cobrado importancia en Colombia. La falta de estrategias de manejo y en especial herramientas de diagnóstico y detección temprana ha generado la necesidad de identificar técnicas de detección indirecta con aplicación potencial a nivel comercial. Por lo anterior, este trabajo tuvo como objetivo evaluar herramientas de análisis de datos espectrales para la identificación y cuantificación de MT asociada a Verticillium spp. en cultivos de papa. El trabajo se dividió en dos fases en busca de caracterizar a nivel espectral plantas sanas y enfermas, además de hacer una aproximación a la cuantificación indirecta de distintos niveles de severidad de la enfermedad. En primer lugar, se compararon firmas espectrales adquiridas mediante un espectro radiómetro fijo bajo condiciones controladas con el fin de identificar bandas e índices espectrales contrastantes por su capacidad para la detección y cuantificación indirecta de esta patología. Posteriormente, en dos áreas de producción comercial se generaron clasificaciones utilizando algoritmos de aprendizaje automático (Bosques aleatorios, Máquinas de soporte vectorial, Redes neuronales y Adaboost), seleccionando aquellos de mejor comportamiento mediante parámetros de rendimiento por su capacidad para la identificación de plantas sanas y enfermas. Adicionalmente, se realizó una aproximación a la cuantificación de la severidad usando datos multiespectrales adquiridos por medio de un dron. Los resultados indican que los algoritmos usados no tuvieron diferencias significativas entre la capacidad de clasificación usando como predictoras firmas espectrales de plantas sanas y enfermas. Igualmente, las regiones del rojo y el borde rojo fueron las que presentaron mayor importancia en los clasificadores, conllevando a que los índices espectrales RECI, NDRE y GRVI presentaron mayor capacidad discriminatoria. En cuanto a los lotes comerciales, se observó que las clasificaciones alcanzaron niveles aceptables de exactitud, los cuales están directamente relacionados con las variables de intensidad de la enfermedad. Por otra parte, se resalta que en esta propuesta se hace un vínculo entre firmas espectrales e imágenes multiespectrales adquiridas bajo condiciones controladas y tomados en cultivos de condición comercial campo, hallando regiones e índices espectrales informativos con un alto potencial para el desarrollo de sensores ópticos de bajo costo que permitan la detección indirecta de la MT en el cultivo de papa. (Texto tomado de la fuente)Potato crop is affected by different diseases that reduce yield, among them, problems associated with early maturity (MT) caused by Verticillium spp. have gained importance in Colombia. The lack of management strategies, especially diagnostic and early detection tools, has generated the need to identify indirect detection techniques with potential commercial application. Therefore, the objective of this work was to evaluate spectral data analysis tools for the identification and quantification of MT associated with Verticillium spp. in potato crops. The work was divided into two phases in order to characterize healthy and diseased plants at the spectral level, as well as to make an approximation to the indirect quantification of different levels of disease severity. First, spectral signatures acquired by means of a fixed radiometer spectrum were compared under controlled conditions in order to identify contrasting spectral bands and indices for their capacity for the detection and indirect quantification of this pathology. Subsequently, in two commercial production areas, classifications were generated using machine learning algorithms (Random Forests, Support Vector Machines, Neural Networks and Adaboost), selecting those with the best performance parameters for their ability to identify healthy and diseased plants. Additionally, a severity quantification approach was performed using multispectral data acquired from a drone. The results indicate that the algorithms used had no significant differences between the classification capability using spectral signatures of healthy and diseased plants as predictors. Likewise, the red and red-edge regions were those that presented the greatest importance in the classifiers, leading to the RECI, NDRE and GRVI spectral indices presenting greater discriminatory capacity. As for the commercial lots, it was observed that the classifications reached acceptable levels of accuracy, which are directly related to the variables of disease intensity. On the other hand, it is highlighted that in this proposal a link is made between spectral signatures and multispectral images acquired under controlled conditions and taken in commercial field condition crops, finding regions and informative spectral indices with a high potential for the development of lowcost optical sensors that allow the indirect detection of MT in potato crops.MaestríaMagíster en GeomáticaTecnologías Geoespaciales135 páginasapplication/pdfspaUniversidad Nacional de ColombiaBogotá - Ciencias Agrarias - Maestría en GeomáticaFacultad de Ciencias AgrariasBogotá, ColombiaUniversidad Nacional de Colombia - Sede BogotáEvaluación de herramientas de análisis de datos espectrales para la identificación y cuantificación de la madurez temprana en papaEvaluation of spectral data analysis tools for the identification and quantification of early maturity in potatoTrabajo de grado - Maestríainfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/acceptedVersionTexthttp://purl.org/redcol/resource_type/TMAasen, H., Honkavaara, E., Lucieer, A., & Zarco-Tejada, P. 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International Journal of Applied Earth Observation and Geoinformation, 76, 128–142. https://doi.org/https://doi.org/10.1016/j.jag.2018.10.012Análisis de datosMadurezdata analysismaturityVerticilliumMétodos de clasificaciónSensores remotosAprendizaje automáticoBandas espectrales informativasDetección indirecta de enfermedadesDetección indirectaClassification methodsRemote sensingMachine learningInformative spectral bandsIndirect detectionEstudio de Verticillium y de una patología de origen desconocido en papa: aproximación desde la detección, epidemiología, manejo e importancia económicaFEDEPAPA - FNFPEstudiantesInvestigadoresPúblico generalORIGINALEvaluación de técnicas de teledetección para la identificación y cuantificación de la madurez temprana en cultivos de papa a partir de datos espectrales.pdfEvaluación de técnicas de teledetección para la identificación y cuantificación de la madurez temprana en cultivos de papa a partir de datos espectrales.pdfTesis de Maestría en 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