"Implementación de Modelos Machine Learning aplicados al Estudio de Enfermedades del Theobroma cacao para huertas agroecológicas del Cantón la Maná, Provincia de Cotopaxi".
Nowadays, Machine Learning processes applied in the field of agriculture are having great success in various aspects, these include the detection of various plant diseases within the agricultural sector, to achieve this accuracy is required to have fast and effective methods of detection and evaluat...
Na minha lista:
| Autor principal: | |
|---|---|
| Outros Autores: | |
| Formato: | bachelorThesis |
| Idioma: | spa |
| Publicado em: |
2021
|
| Assuntos: | |
| Acesso em linha: | http://repositorio.utc.edu.ec/handle/27000/7289 |
| Tags: |
Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!
|
Adicionar Tag | Resumo: | Nowadays, Machine Learning processes applied in the field of agriculture are having great success in various aspects, these include the detection of various plant diseases within the agricultural sector, to achieve this accuracy is required to have fast and effective methods of detection and evaluation of fruit diseases. There is a great variety of microorganisms that cause diseases to the crop of Theobroma cacao L., and fungi are one of the main groups, there are 8000 species of fungi that produce varieties of diseases in the fruit, which can reproduce more intensely when there is a high concentration of moisture. This project aims to determine the diseases and the percentage of accuracy in the cocoa pod, using a mobile application that contains artificial intelligence models of Deep Learning type. Thanks to the development of this mobile application contributes to the farmer who has no cognition of the diseases that affect the cacao crop, agricultural professionals perform efficient tests using wet cameras and microscopy to identify which infectious pathogens are affecting the fruit. |
|---|