Procesamiento de imagenes para reconocimiento de da?os causados por plagas en el cultivo de Begonia semperflorens (flor de azucar)

Nowadays, an important element in farming, is the use of technology, based on the analysis of the different factors that affect the succesful development of the crops. The results are presented in the recognition of pests, in this work a computer machine vision, as a diagnostic was used. The images...

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Bibliographic Details
Published in:Acta agronomica (Palmira) 2015-07, Vol.64 (3), p.273
Main Authors: Camilo Andrés Cáceres Flórez, Ramos Sandoval, Olga Lucia, Dario Amaya Hurtado
Format: Article
Language:Spanish
Subjects:
Agronomy
Crop science
Morphology
Pest control
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Summary:Nowadays, an important element in farming, is the use of technology, based on the analysis of the different factors that affect the succesful development of the crops. The results are presented in the recognition of pests, in this work a computer machine vision, as a diagnostic was used. The images capturing were doing with a robotic air agent, equipped with a camera, capturing images of the state of a crop of a plant called Flor de azcar (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.
ISSN:0120-2812
2323-0118