Methodology for Pest Damage recognition in the “Sugar Flower” Begonia Semperflorens crop through image processing
Nowadays, an important element in farming, is the use of technology, based on the analysis of the differ-ent 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.
| Main Authors: | , , |
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| Format: | Digital revista |
| Language: | spa eng |
| Published: |
Universidad Nacional de Colombia - Sede Palmira
2015
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| Online Access: | https://revistas.unal.edu.co/index.php/acta_agronomica/article/view/42657 |
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