Detección de enfermedades en cultivos de Papa usando procesamiento de imágenes.

Abstract

This work describes the techniques and processes used in a system of identification and classification of diseases in potato crops. They use image processing that allows to determine the phases that Alternariosis presents a very common disease in potato cultivation. Due to the different types of diseases present in the potato leaf, Alternariosis (Alternaria solani), Late blight (Phytophthora infestans) and Virosis (PVS) were also applied to determine the three most common types of pests in the crop. This type of disease causes a noticeable damage to the plant leaf, one of the most important advantages for the detection system through image processing. The importance of using a system for the early detection of diseases in crops is highlighted by farmers. The methods and processes used for the detection of the diseases in the potato leaves are described. These methods are present in five fundamental steps at the time of the detection and classification of an object within an image of a sick potato leaf. As a first step, the image is acquired and it ends with the classification of the disease using the ANN (Artificial Neural Networks) neural network. Finally, the results are presented by using the disease detection system in the potato leaf through image processing, using the Matlab application.