Procesamiento de imágenes para reconocimiento de daños causados por plagas en el cultivo de Begonia semperflorens (flor de azúcar)

Abstract

Nowadays, an important element in farming, is the use of technology, based on the analysis of the different factors that affect the correct development of the crops. The results are presented in the recognition of pests, in this work is used computer machine vision, as a diagnostic. The images are capturing are with a robotic air agent, equipped with a camera, capturing images of the state of a crop of a plant called 'Flor de azúcar' (Begonia semperflorens). These images are processed using machine vision techniques to identify the possible attack of pests on the crop. The techniques used are morphological filters, Gaussian blur filter and HSL. The main result of this work was accomplished, perform the detection of the perforation of the leaves as a result of pest attack, specifically slugs, snails, spider mites and leafminers.