Aplicación móvil para la predicción de la roya en café robusta con integración de modelos de inteligencia computacional
The objective of this titling work is the correct prediction of rust in robusta coffee plants through the integration of computational intelligence models. For this development, the XP methodology was used, beginning with a review of the models to be implemented, then a design was made that would ad...
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| Format: | bachelorThesis |
| Language: | spa |
| Published: |
2023
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| Online Access: | http://repositorio.espam.edu.ec/handle/42000/2069 |
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Add Tag | Summary: | The objective of this titling work is the correct prediction of rust in robusta coffee plants through the integration of computational intelligence models. For this development, the XP methodology was used, beginning with a review of the models to be implemented, then a design was made that would adapt to the requirements requested by the client and to continue with the development of each of the modules, to end with the process, a test of all the functionalities of the application was carried out. With greater emphasis, the rust detection procedure was analyzed with results that yielded 85% of identified cases, with the degree of involvement level 5 with 43% being the highest presence among all infected cases. |
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