Aplicación de las técnicas de aprendizaje automático para la detección temprana de antracnosis en hojas de guanábana
With the purpose of creating a useful application of IA in the Colombian context, a model was created for identifying and locating anthracnose disease on soursop leaves. The model was built using images taken from soursop crops in Lebrija, Santander, and classified under the supervision of experts i...
- Autores:
-
Saavedra Hernández, David Eduardo
Pardo Díaz, Julián David
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2020
- Institución:
- Universidad de los Andes
- Repositorio:
- Séneca: repositorio Uniandes
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.uniandes.edu.co:1992/51486
- Acceso en línea:
- http://hdl.handle.net/1992/51486
- Palabra clave:
- Aprendizaje automático (Inteligencia artificial)
Guanábana
Procesamiento de imágenes
Ingeniería
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
| Summary: | With the purpose of creating a useful application of IA in the Colombian context, a model was created for identifying and locating anthracnose disease on soursop leaves. The model was built using images taken from soursop crops in Lebrija, Santander, and classified under the supervision of experts in the area. Finally, to be able to use massively the model created, a mobile app was created using Android with kotlin. The result is the app that allows people to take photos of soursop leaf, and returning the affected areas with an associated probability of being anthracnose disease. |
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