“Implementación de Modelo Machine Learning aplicado al estudio de enfermedades de café en el centro de investigación Sacha Wiwa, perteneciente a la parroquia guasaganda, cantón La Maná, provincia de Cotopaxi.”
The rise of science and technology is reflected today, making it noticeable and progressively appreciated in the different areas of knowledge, which is why through a mobile application oriented for Android systems, called AGROCAFÉ, and the implementation of an ML model applied to the study of coffee...
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| Format: | bachelorThesis |
| Language: | spa |
| Published: |
2022
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| Online Access: | http://repositorio.utc.edu.ec/handle/27000/8981 |
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Add Tag | Summary: | The rise of science and technology is reflected today, making it noticeable and progressively appreciated in the different areas of knowledge, which is why through a mobile application oriented for Android systems, called AGROCAFÉ, and the implementation of an ML model applied to the study of coffee diseases (Coffea arabica) has the aim and purpose of helping small and large coffee growers in the recognition of coffee diseases, through Machine Learning techniques and image analysis of the diseased leaves of this, facilitating the process of recognition of the diseases and improving its production quality. On the other hand, the use of information technologies in the processes carried out by farmers supports their lifestyles and work with which they have more time to carry out more activities, and helps the farmer to recognize any given disease early, through the monitoring of coffee, which by taking preventive and corrective measures for the spread and treatment of the disease, will prevent the loss of its crop, and will improve the quality of production. |
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