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Automatic recognition of quarantine citrus diseases

Resumen
Citrus exports to foreign markets are severely limited today by fruit diseases. Some of them, like citrus canker, black spot and scab, are quarantine for the markets. For this reason, it is important to perform strict controls before fruits are exported to avoid the inclusion of citrus affected by them. Nowadays, technical decisions are based on visual diagnosis of human experts, highly dependent on the degree of individual skills. This work presents [ver mas...]
Citrus exports to foreign markets are severely limited today by fruit diseases. Some of them, like citrus canker, black spot and scab, are quarantine for the markets. For this reason, it is important to perform strict controls before fruits are exported to avoid the inclusion of citrus affected by them. Nowadays, technical decisions are based on visual diagnosis of human experts, highly dependent on the degree of individual skills. This work presents a model capable of automatic recognize the quarantine diseases. It is based on the combination of a feature selection method and a classifier that has been trained on quarantine illness symptoms. Citrus samples with citrus canker, black spot, scab and other diseases were evaluated. Experimental work was performed on 212 samples of mandarins from a Nova cultivar. The proposed approach achieved a classification rate of quarantine/not-quarantine samples of over 83% for all classes, even when using a small subset (14) of all the available features (90). The results obtained show that the proposed method can be suitable for helping the task of citrus visual diagnosis, in particular, quarantine diseases recognition in fruits. [Cerrar]
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Autor
Stegmayer, Georgina;   Milone, Diego Humberto;   Garran, Sergio Mario;   Burdyn, Lourdes;  
Fuente
Expert systems with applications 40 : 3512–3517. (2013)
Fecha
2013
ISSN
0957-4174
URI
http://hdl.handle.net/20.500.12123/2784
DOI
https://doi.org/10.1016/j.eswa.2012.12.059
Formato
pdf
Tipo de documento
artículo
Palabras Claves
Citrus; Enfermedades de las Plantas; Cuarentena; Métodos de Control; Clasificación; Classification; Control Methods; Quarantine; Plant Diseases; Neural Networks;
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Excepto donde se diga explicitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
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