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http://reini.utcv.edu.mx:80/handle/123456789/1415
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Campo DC | Valor | Lengua/Idioma |
---|---|---|
dc.contributor.author | Eduardo De Felipe Rendón | es_MX |
dc.contributor.author | David Cruz Flores | es_MX |
dc.contributor.author | Aldair Barojas Jiménez | es_MX |
dc.contributor.author | Edgar Jahir Hernández Andrade | es_MX |
dc.contributor.author | Erick de Jesús Flores Acosta | es_MX |
dc.contributor.author | Luis Rolando Guarneros Nolasco | es_MX |
dc.date.accessioned | 2024-03-05T15:38:52Z | - |
dc.date.available | 2024-03-05T15:38:52Z | - |
dc.date.issued | 2023-11 | - |
dc.identifier.uri | http://reini.utcv.edu.mx:80/handle/123456789/1415 | - |
dc.description.abstract | In recent years, coffee has faced a global increase in plagues and diseases, impacting the quality and profitability of its benefits. One of the most devastating and common diseases is coffee rust, which has caused a significant decrease in coffee production at the national and state levels by causing the falling of mature and young leaves, reducing production. In this work, we present a mobile application development using a deep learning algorithm model to identify and predict the level of coffee rust infection, providing treatment and prevention recommendations for coffee farmers. The model classified with an accuracy of 58% of rust diseased leaves in a dataset of diseased and healthy leaves. | es_MX |
dc.language | spa | es_MX |
dc.publisher | Universidad Nacional Autonoma de México | es_MX |
dc.rights | http://creativecommons.org/licenses/by/4.0 | es_MX |
dc.subject | Artículo | es_MX |
dc.title | Coffee rust detection and recommendations module through deep learning algorithms | es_MX |
dc.type | info:eu-repo/semantics/article | es_MX |
dc.audience | generalPublic | es_MX |
dc.rights.access | info:eu-repo/semantics/openAccess | es_MX |
dc.author | Eduardo De Felipe Rendón*info:eu-repo/dai/mx/orcid/*0009-0000-6241-9083 | es_MX |
dc.author | David Cruz Flores*info:eu-repo/dai/mx/orcid/*0009-0007-2705-3873 | es_MX |
dc.author | Aldair Barojas Jiménez*info:eu-repo/dai/mx/orcid/*0009-0001-4493-9779 | es_MX |
dc.author | Edgar Jahir Hernández Andrade*info:eu-repo/dai/mx/orcid/*0009-0006-0286-6678 | es_MX |
dc.author | Erick de Jesús Flores Acosta*info:eu-repo/dai/mx/orcid/*0009-0009-3914-4312 | es_MX |
dc.author | Luis Rolando Guarneros Nolasco*info:eu-repo/dai/mx/orcid/*0000-0001-6379-4969 | es_MX |
dc.area | info:eu-repo/classification/cti/7 | es_MX |
Aparece en las colecciones: | Artículos arbitrados |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
19-Coffee-rust-detection-and-recommendations-module.pdf | 395.6 kB | Adobe PDF | Visualizar/Abrir |
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