Proof of Concept Design for Identification of Late Blight on Potato Leaves Using a UAV
Descripción del Articulo
Potato is the third most consumed food fruit worldwide by humans and on many occasions at planting time it is affected by numerous fungal species that generate various diseases in potato leaves and tubers, causing great economic losses and obtaining a poor crop production. The objective of this stud...
Autores: | , , |
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Formato: | tesis de grado |
Fecha de Publicación: | 2025 |
Institución: | Universidad Continental |
Repositorio: | CONTINENTAL-Institucional |
Lenguaje: | inglés |
OAI Identifier: | oai:repositorio.continental.edu.pe:20.500.12394/18030 |
Enlace del recurso: | https://hdl.handle.net/20.500.12394/18030 https://doi.org/10.1109/RAAI56146.2022.10093001 |
Nivel de acceso: | acceso abierto |
Materia: | Hongos patógenos Pathogenic fungi Transportes aéreos Air transport Papas (Tubérculos) Potatoes (Tubers) https://purl.org/pe-repo/ocde/ford#2.11.00 |
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dc.title.es_PE.fl_str_mv |
Proof of Concept Design for Identification of Late Blight on Potato Leaves Using a UAV |
dc.title.alternative.es_PE.fl_str_mv |
Diseño de prueba de concepto para la identificación del tizón tardío en hojas de papa mediante un UAV |
title |
Proof of Concept Design for Identification of Late Blight on Potato Leaves Using a UAV |
spellingShingle |
Proof of Concept Design for Identification of Late Blight on Potato Leaves Using a UAV Sullca Bendezu, Romi Vianne Hongos patógenos Pathogenic fungi Transportes aéreos Air transport Papas (Tubérculos) Potatoes (Tubers) https://purl.org/pe-repo/ocde/ford#2.11.00 |
title_short |
Proof of Concept Design for Identification of Late Blight on Potato Leaves Using a UAV |
title_full |
Proof of Concept Design for Identification of Late Blight on Potato Leaves Using a UAV |
title_fullStr |
Proof of Concept Design for Identification of Late Blight on Potato Leaves Using a UAV |
title_full_unstemmed |
Proof of Concept Design for Identification of Late Blight on Potato Leaves Using a UAV |
title_sort |
Proof of Concept Design for Identification of Late Blight on Potato Leaves Using a UAV |
author |
Sullca Bendezu, Romi Vianne |
author_facet |
Sullca Bendezu, Romi Vianne Herrera Baldeon, Ricardo Jose Huamanchahua Canchanya, Deyby Maycol |
author_role |
author |
author2 |
Herrera Baldeon, Ricardo Jose Huamanchahua Canchanya, Deyby Maycol |
author2_role |
author author |
dc.contributor.advisor.fl_str_mv |
Beraún Espíritu, Manuel Michael |
dc.contributor.author.fl_str_mv |
Sullca Bendezu, Romi Vianne Herrera Baldeon, Ricardo Jose Huamanchahua Canchanya, Deyby Maycol |
dc.subject.es_PE.fl_str_mv |
Hongos patógenos Pathogenic fungi Transportes aéreos Air transport Papas (Tubérculos) Potatoes (Tubers) |
topic |
Hongos patógenos Pathogenic fungi Transportes aéreos Air transport Papas (Tubérculos) Potatoes (Tubers) https://purl.org/pe-repo/ocde/ford#2.11.00 |
dc.subject.ocde.es_PE.fl_str_mv |
https://purl.org/pe-repo/ocde/ford#2.11.00 |
description |
Potato is the third most consumed food fruit worldwide by humans and on many occasions at planting time it is affected by numerous fungal species that generate various diseases in potato leaves and tubers, causing great economic losses and obtaining a poor crop production. The objective of this study was to design a proof of concept for the early identification of late blight disease in potato leaves using an unmanned aerial vehicle (UAV), under the terms of technical and economic evaluation of the solution and the concepts of using an embedded system. The late blight identification processes were exposed to the technical and economic evaluation of the solution from three proposed solutions, solution S 1, solution S 2 and solution S 3. The three provided solutions were compared, and the following results were obtained, the technical values Xi obtained the results of 0.86, 0.68 and 0.75 according to the order number of solutions one, two and three and the economic evaluation results obtained the economic values Yi of 0.88, 0.79 and 0.75. The optimal solution for the design of the proof of concept for the identification of late blight on potato leaves is solution S 1, and from it the design of the control flow diagram and the schematic communication diagram were developed. |
publishDate |
2025 |
dc.date.accessioned.none.fl_str_mv |
2025-09-24T13:42:16Z |
dc.date.available.none.fl_str_mv |
2025-09-24T13:42:16Z |
dc.date.issued.fl_str_mv |
2025 |
dc.type.es_PE.fl_str_mv |
info:eu-repo/semantics/bachelorThesis |
dc.type.version.es_PE.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
bachelorThesis |
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publishedVersion |
dc.identifier.citation.es_PE.fl_str_mv |
Sullca, R., Herrera, R., & Huamanchahua, D. (2025). Proof of Concept Design for Identification of Late Blight on Potato Leaves Using a UAV [Tesis de licenciatura, Universidad Continental]. Repositorio Institucional Continental. https://repositorio.continental.edu.pe/handle/20.500.12394/18030 |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12394/18030 |
dc.identifier.journal.es_PE.fl_str_mv |
2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI) |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.1109/RAAI56146.2022.10093001 |
identifier_str_mv |
Sullca, R., Herrera, R., & Huamanchahua, D. (2025). Proof of Concept Design for Identification of Late Blight on Potato Leaves Using a UAV [Tesis de licenciatura, Universidad Continental]. Repositorio Institucional Continental. https://repositorio.continental.edu.pe/handle/20.500.12394/18030 2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI) |
url |
https://hdl.handle.net/20.500.12394/18030 https://doi.org/10.1109/RAAI56146.2022.10093001 |
dc.language.iso.es_PE.fl_str_mv |
eng |
language |
eng |
dc.relation.es_PE.fl_str_mv |
https://ieeexplore.ieee.org/document/10093001 |
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SUNEDU |
dc.rights.es_PE.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.uri.es_PE.fl_str_mv |
https://creativecommons.org/licenses/by/4.0/ |
dc.rights.license.es_PE.fl_str_mv |
Attribution 4.0 International (CC BY 4.0) |
dc.rights.accessRights.es_PE.fl_str_mv |
Acceso abierto |
eu_rights_str_mv |
openAccess |
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https://creativecommons.org/licenses/by/4.0/ Attribution 4.0 International (CC BY 4.0) Acceso abierto |
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Universidad Continental Repositorio Institucional - Continental |
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Beraún Espíritu, Manuel MichaelSullca Bendezu, Romi VianneHerrera Baldeon, Ricardo JoseHuamanchahua Canchanya, Deyby Maycol2025-09-24T13:42:16Z2025-09-24T13:42:16Z2025Sullca, R., Herrera, R., & Huamanchahua, D. (2025). Proof of Concept Design for Identification of Late Blight on Potato Leaves Using a UAV [Tesis de licenciatura, Universidad Continental]. Repositorio Institucional Continental. https://repositorio.continental.edu.pe/handle/20.500.12394/18030https://hdl.handle.net/20.500.12394/180302022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI)https://doi.org/10.1109/RAAI56146.2022.10093001Potato is the third most consumed food fruit worldwide by humans and on many occasions at planting time it is affected by numerous fungal species that generate various diseases in potato leaves and tubers, causing great economic losses and obtaining a poor crop production. The objective of this study was to design a proof of concept for the early identification of late blight disease in potato leaves using an unmanned aerial vehicle (UAV), under the terms of technical and economic evaluation of the solution and the concepts of using an embedded system. The late blight identification processes were exposed to the technical and economic evaluation of the solution from three proposed solutions, solution S 1, solution S 2 and solution S 3. The three provided solutions were compared, and the following results were obtained, the technical values Xi obtained the results of 0.86, 0.68 and 0.75 according to the order number of solutions one, two and three and the economic evaluation results obtained the economic values Yi of 0.88, 0.79 and 0.75. The optimal solution for the design of the proof of concept for the identification of late blight on potato leaves is solution S 1, and from it the design of the control flow diagram and the schematic communication diagram were developed.application/pdfp. 250-255engUniversidad ContinentalPEhttps://ieeexplore.ieee.org/document/10093001SUNEDUinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/4.0/Attribution 4.0 International (CC BY 4.0)Acceso abiertoUniversidad ContinentalRepositorio Institucional - Continentalreponame:CONTINENTAL-Institucionalinstname:Universidad Continentalinstacron:CONTINENTALHongos patógenosPathogenic fungiTransportes aéreosAir transportPapas (Tubérculos)Potatoes (Tubers)https://purl.org/pe-repo/ocde/ford#2.11.00Proof of Concept Design for Identification of Late Blight on Potato Leaves Using a UAVDiseño de prueba de concepto para la identificación del tizón tardío en hojas de papa mediante un UAVinfo:eu-repo/semantics/bachelorThesisinfo:eu-repo/semantics/publishedVersionIngeniero MecatrónicoUniversidad Continental. 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Herrera Baldeon, Ricardo Jose; Huamanchahua Canchanya, Deyby Maycolapplication/pdf1212482https://repositorio.continental.edu.pe/bitstream/20.500.12394/18030/3/IV_FIN_112_TE_Sullca_Herrera_Huamanchahua_2025.pdf24f5594b591364aa9df8817a50c7dd4eMD53IV_FIN_112_Autorización_2025.pdfIV_FIN_112_Autorización_2025.pdfAutorizaciónapplication/pdf166494https://repositorio.continental.edu.pe/bitstream/20.500.12394/18030/2/IV_FIN_112_Autorizaci%c3%b3n_2025.pdf1ae9c68fbfcfbce525a70c5fd33c099eMD52Informe_Turnitin.pdfInforme_Turnitin.pdfInforme de turnitinapplication/pdf2390107https://repositorio.continental.edu.pe/bitstream/20.500.12394/18030/1/Informe_Turnitin.pdf079106894fb74085e3af7bf4d02e22aeMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.continental.edu.pe/bitstream/20.500.12394/18030/4/license.txt8a4605be74aa9ea9d79846c1fba20a33MD5420.500.12394/18030oai:repositorio.continental.edu.pe:20.500.12394/180302025-09-30 11:15:44.353Repositorio Continentaldspaceconti@continental.edu.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 |
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Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).