Desarrollo de una herramienta computacional basada en redes neuronales para el diagnóstico del tizón tardío en cultivos de papa

Late blight (Phythottora Infestas) is a disease that seriously affects potato crops, causing a negative impact on the farmer's economy. This project will generate a computational tool called NeuroPI - 2105 based on a convolutional neural network created by the author, which classifies two types...

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Bibliographic Details
Main Author:	Ortiz Daza, Camilo Andrés
Other Authors:	Erazo Ordoñez, Christian Camilo
Format:	Tesis y disertaciones (Maestría y/o Doctorado)
Language:	spa
Published:	Universidad Antonio Nariño 2021
Subjects:	Tizón Tardío Herramienta Computacional Redes Neuronales Convolucionales Matlab 633 Late Blight Computational Tool Convolutional Neural Networks
Online Access:	http://repositorio.uan.edu.co/handle/123456789/5156
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Summary:	Late blight (Phythottora Infestas) is a disease that seriously affects potato crops, causing a negative impact on the farmer's economy. This project will generate a computational tool called NeuroPI - 2105 based on a convolutional neural network created by the author, which classifies two types of leafs that are; healthy and sick. The network has been trained with 1304 images from the PlantVillage database, 304 of them correspond to healthy leaves, the remainder being attributed to late blight. The training algorithm has used the Adam gradient descent, the cross-entropy error function, and backpropagation, in order to adjust the synaptic weights and threshold levels in the network.