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Preliminary machine learning model for citrus greening disease (Huanglongbing-HLB) prediction in Colombia

dc.contributor.authorChavarro Mesa, Edisson
dc.contributor.authorDe la Hoz Domínguez, Enrique José
dc.contributor.authorFennix Agudelo, Mary Andrea
dc.contributor.authorMiranda-Castro, Wendy
dc.contributor.authorÁngel-Díaz, Jorge Evelio
dc.date.accessioned2021-02-16T15:09:08Z
dc.date.available2021-02-16T15:09:08Z
dc.date.issued2020-11-09
dc.date.submitted2021-02-12
dc.identifier.citationE. Chavarro-Mesa, E. Delahoz-Domínguez, M. Fennix-Agudelo, W. Miranda-Castro and J. E. Ángel-Díaz, "Preliminary machine learning model for citrus greening disease (Huanglongbing-HLB) prediction in Colombia," 2020 IEEE Colombian Conference on Applications of Computational Intelligence (IEEE ColCACI 2020), Cali, Colombia, 2020, pp. 1-4, doi: 10.1109/ColCACI50549.2020.9247900.spa
dc.identifier.urihttps://hdl.handle.net/20.500.12585/10025
dc.description.abstractCitrus greening disease (Huanglongbing-HLB) is considered the most destructive citrus disease worldwide. Of the three species of Candidatus liberibacter associated with HLB, two have been recently reported in Latin America. The first report of HLB in Colombia was in March 2016. In this paper, a dataset was extracted for six departments in the northern zone of Colombia, where has been previously reported, applying image georeferencing with QGIS Software. Preliminary Random Forest and K-Nearest Neighbors (KNN) machine learning models were used in order to test and validate the obtained results, for disease monitoring and HLB incidence prediction. The performance of both models was also compared, obtaining a 100% AUC value with Random Forest model.spa
dc.format.extent4 páginas
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.source2020 IEEE Colombian Conference on Applications of Computational Intelligence (IEEE ColCACI 2020)spa
dc.titlePreliminary machine learning model for citrus greening disease (Huanglongbing-HLB) prediction in Colombiaspa
dcterms.bibliographicCitationM. M. Robles-González et al., "Síntomas del Huanglongbing (HLB) enárboles de limón mexicano [Citrus aurantifolia (Christm) Swingle] y su dispersión en el estado de Colima México", Rev. Chapingo. Ser. Hortic, vol. 19, no. 1, pp. 15-31, 2013.spa
dcterms.bibliographicCitationC. Santivañez, G. Mora Aguilera, G. Díaz Padilla, J. I. Lopez Arrollo and P. Vernal Hurtado, "Citrus: Marco estratégico para la gestión regional del Huanglongbing en América Latina y el Caribe", 2013.spa
dcterms.bibliographicCitationT. H. Hung, S. C. Hung, C. N. Chen, M. H. Hsu and H. J. Su, "Detection by PCR of Candidatus Liberibacter asiaticus the bacterium causing citrus huanglongbing in vector psyllids: Application to the study of vector-pathogen relationships", Plant Pathol, 2004.spa
dcterms.bibliographicCitationK. L. Manjunath, S. E. Halbert, C. Ramadugu, S. Webb and R. F. Lee, "Detection of ‘Candidatus Liberibacter asiaticus’ in Diaphorina citri and its importance in the management of citrus huanglongbing in Florida", Phytopathology, 2008.spa
dcterms.bibliographicCitation"La amenaza del HLB (Huanglongbing de los cítricos) para la citricultura nacional", Nov 2013, [online] Available: http://www.senasa.gov.ar/contenido.php?to=nin=11io=18493.spa
dcterms.bibliographicCitationComunicado de prensa: autoridades del SFE confirman presencia de ‘Dragón Amarillo’ en árboles de la Zona Norte. In: Ministerio de Agricultura y Ganadería de Costa Rica, Sep 2011, [online] Available: https://www.sfe.go.cr/documentos/comunicados/2011/2102 2011 SFE confirma presencia HLB en zona norte.pdf.spa
dcterms.bibliographicCitationK. L. Manjunath, C. Ramadugu, V. M. Majil, S. Williams, M. Irey and R. F. Lee, "First report of the citrus huanglongbing associated bacterium ‘candidatus liberibacter asiaticus’ from sweet orange mexican lime and Asian citrus psyllid in Belize", Plant Dis, 2010.spa
dcterms.bibliographicCitationY. Martínez et al., "First report of ‘Candidatus Liberibacter asiaticus’ associated with Huanglongbing in Cuba", Plant Pathol, vol. 58, no. 2, pp. 389, 2009.spa
dcterms.bibliographicCitation"Detection of Huanglongbing (’Candidatus Liberibacter asiaticus’) in the municipality of Tizimin Yucatan Mexico. Official pest reports", Phytosanitary Alert System, Nov 2009, [online] Available: http://www.pestalert.org/oprDetail.cfm?oprID=384.spa
dcterms.bibliographicCitationL. Matos, M. E. Hilf and J. Camejo, "First report of ‘candidatus liberibacter asiaticus’ associated with citrus huanglongbing in the Dominican Republic", Plant Disease, 2009.spa
dcterms.bibliographicCitationD. D. C. Teixeira et al., "Citrus huanglongbing in São Paulo State Brazil: PCR detection of the ‘Candidatus’ Liberibacter species associated with the disease", Mol. Cell. Probes, 2005.spa
dcterms.bibliographicCitationJ. M. Bové, "Huanglongbing: A destructive newly-emerging centuryold disease of citrus", Journal of Plant Pathology, 2006.spa
dcterms.bibliographicCitationE. E. Ebratt-Ravelo, L. T. Rubio-González, V. A. Costa, E. M. Zambrano-Gómez, Á. P. Castro-Ávila and M. Y. Santamaría-Galindo, "Primer Registro de Tamarixia radiata (Waterston 1922)(Hymenoptera: Eulophidae) en Colombia", Rev. Fac. Nac. Agron, vol. 64, no. 2, pp. 6141-6146, 2011.spa
dcterms.bibliographicCitationE. E. Ebratt-Ravelo, L. T. Rubio-González, V. A. Costa, Á. P. Castro-Ávila, E. M. Zambrano-Gómez and J. E. Ángel-Díaz, "Diaphorina citri (Kuwayama 1907) and Tamarixia radiata (Waterson 1922) in citrus crops of Cundinamarca Colombia", Agron. Colomb, vol. 29, no. 3, pp. 487-493, 2011.spa
dcterms.bibliographicCitationJ. E. Ángel et al., "Citrus huanglongbing: Validación de PCR en tiempo real para la detección de Candidatus Liberibacter asiaticus y Candidatus Liberibacter americanus en Colombia", Agron. Colomb, 2014.spa
dcterms.bibliographicCitationJ. E. Ángel et al., "Comparisión de métodos de extracción ADN para detección de huanglongbing en Colombia", Agron. Colomb, 2014.spa
dcterms.bibliographicCitation"Boletín No. 8: Alerta Amarilla todos unidos contra el Huanglongbing (HLB) de los cítricos y su vector Diaphorina citri Kuwayama", Subgerencia de Protección Vegetal del ICA, 2015.spa
dcterms.bibliographicCitationA. Pourreza, W. S. Lee, R. Ehsani, J. K. Schueller and E. Raveh, "An optimum method for real-time in-field detection of Huanglongbing disease using a vision sensor", Comput. Electron. Agric, 2015.spa
dcterms.bibliographicCitationS. R. Maniyath et al., "Plant disease detection using machine learning", Proceedings - 2018 International Conference on Design Innovations for 3Cs Compute Communicate Control ICDI3C 2018, 2018.spa
dcterms.bibliographicCitationS. Futch, S. Weingarten and M. Irey, "Determining HLB Infection Levels using Multiple Survey Methods in Florida Citrus", Procedings Florida State Hortic. Soc, 2009.spa
dcterms.bibliographicCitationJ. J. Garza-Saldaña, S. Varela-Fuentes and W. Gómez-Flores, "Métodos para la detección presuntiva de Huanglongbing (HLB) en cítricos", CienciaUAT, 2017.spa
dcterms.bibliographicCitationL. Emmi, M. Gonzalez-De-Soto and P. Gonzalez-De-Santos, "Configuring a fleet of ground robots for agricultural tasks", Advances in Intelligent Systems and Computing, 2014.spa
dcterms.bibliographicCitationJ. M. Peña, J. Torres-Sánchez, A. Serrano-Pérez, A. I. de Castro and F. López-Granados, "Quantifying efficacy and limits of unmanned aerial vehicle (UAV) technology for weed seedling detection as affected by sensor resolution", Sensors, 2015.spa
dcterms.bibliographicCitationS. K. Sarkar, J. Das, R. Ehsani and V. Kumar, "Towards autonomous phytopathology: Outcomes and challenges of citrus greening disease detection through close-range remote sensing", 2016 IEEE International Conference on Robotics and Automation (ICRA), pp. 5143-5148, 2016.spa
dcterms.bibliographicCitationC. B. Wetterich, R. Felipe de Oliveira Neves, J. Belasque, R. Ehsani and L. G. Marcassa, "Detection of Huanglongbing in Florida using fluorescence imaging spectroscopy and machine-learning methods", Appl. Opt, 2017.spa
dcterms.bibliographicCitationC. B. Wetterich, R. Kumar, S. Sankaran, J. Belasque Junior, R. Ehsani and L. G. Marcassa, "A comparative study on application of computer vision and fluorescence imaging spectroscopy for detection of Huanglongbing citrus disease in the Usa and Brazil", J. Spectrosc, 2013.spa
dcterms.bibliographicCitationB. Sandika, S. Avil, S. Sanat and P. Srinivasu, "Random forest based classification of diseases in grapes from images captured in uncontrolled environments", International Conference on Signal Processing Proceedings ICSP, 2016.spa
dcterms.bibliographicCitationK. P. Ferentinos, "Deep learning models for plant disease detection and diagnosis", Comput. Electron. Agric, 2018.spa
dcterms.bibliographicCitationS. P. Mohanty, D. P. Hughes and M. Salathé, "Using deep learning for image-based plant disease detection", Front. Plant Sci, 2016.spa
dcterms.bibliographicCitationL. Breiman, "Random forests", Mach. Learn, 2001.spa
dcterms.bibliographicCitationM. N. Wright and A. Ziegler, "Ranger: A fast implementation of random forests for high dimensional data in C++ and R", J. Stat. Softw, 2017.spa
dcterms.bibliographicCitationA. Kataria and M. D. Singh, "A Review of Data Classification Using K-Nearest Neighbour Algorithm", Int. J. Emerg. Technol. Adv. Eng, 2013.spa
datacite.rightshttp://purl.org/coar/access_right/c_14cbspa
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85spa
dc.identifier.urlhttps://ieeexplore.ieee.org/document/9247900
dc.type.driverinfo:eu-repo/semantics/lecturespa
dc.type.hasversioninfo:eu-repo/semantics/publishedVersionspa
dc.identifier.doi10.1109/ColCACI50549.2020.9247900
dc.subject.keywordsDiaphorina citrispa
dc.subject.keywordsRandom Forestspa
dc.subject.keywordsK-Nearest Neighborsspa
dc.rights.accessrightsinfo:eu-repo/semantics/closedAccessspa
dc.identifier.instnameUniversidad Tecnológica de Bolívarspa
dc.identifier.reponameRepositorio Universidad Tecnológica de Bolívarspa
dc.publisher.placeCartagena de Indiasspa
dc.subject.armarcLEMB
dc.type.spahttp://purl.org/coar/resource_type/c_8544spa
dc.audienceInvestigadoresspa
oaire.resourcetypehttp://purl.org/coar/resource_type/c_c94fspa


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Universidad Tecnológica de Bolívar - 2017 Institución de Educación Superior sujeta a inspección y vigilancia por el Ministerio de Educación Nacional. Resolución No 961 del 26 de octubre de 1970 a través de la cual la Gobernación de Bolívar otorga la Personería Jurídica a la Universidad Tecnológica de Bolívar.