Desarrollo de un sistema de visión por computadora con Raspberry Pi para la detección temprana de la Moniliasis y la Fitóftora en el cultivo de cacao criollo de la finca Villa Laura en el Huila
Through this research, a computer vision system was developed with Raspberry Pi to contribute to the early detection of Moniliasis and Phytophthora, which currently affect cocoa the most, and from there, generate alternatives to minimize their impact. Neural networks were used for this study, in ord...
Guardado en:
| Autor principal: | |
|---|---|
| Otros Autores: | |
| Formato: | Trabajo de grado (Pregrado y/o Especialización) |
| Lenguaje: | spa |
| Publicado: |
Universidad Antonio Nariño
2023
|
| Materias: | |
| Acceso en línea: | http://repositorio.uan.edu.co/handle/123456789/7905 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| Sumario: | Through this research, a computer vision system was developed with Raspberry Pi to contribute to the early detection of Moniliasis and Phytophthora, which currently affect cocoa the most, and from there, generate alternatives to minimize their impact. Neural networks were used for this study, in order to detect diseases in cocoa, the detection model used is the SSD MobileNet V2, an architecture used for object detection, trained and evaluated by a set of o wn images. The images come from the Villa Laura farm where a dataset of 540 images was extracted, the neural network, once trained, calculates the performance metrics, obtaining as a result an average accuracy of 0.783, and an average recall of 0.85. These results are very favorable for the model entered. |
|---|
