Proof of Concept Design for Identification of Late Blight on Potato Leaves Using a UAV

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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...

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Detalles Bibliográficos
Autores: Sullca Bendezu, Romi Vianne, Herrera Baldeon, Ricardo Jose, Huamanchahua Canchanya, Deyby Maycol
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)
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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
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dc.type.version.es_PE.fl_str_mv info:eu-repo/semantics/publishedVersion
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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
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language eng
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spelling 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. 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