An Android App for detecting damage on tobacco (Nicotiana tabacum L.) leaves caused by blue mold (Penospora tabacina Adam) [Aplicación móvil para la detección de daños en hojas de tabaco (Nicotiana tabacum L.) por moho azul (Penospora tabacina Adam)]

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Date
2019-01-24
Author
Valdez-Morones, Topacio
Pérez-Espinosa, Humberto
Avila-George, Himer
Oblitas, Jimy
Castro, Wilson
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Abstract
ABSTRACT In this paper, we present an Android App designed to detect damage in tobacco leaves caused by the fungus of blue mold. This mobile application uses a classifier model which was built using a pattern recognition technique known as Artificial Neural Network. For the training and testing stages, a total of 40 images of tobacco leaves were used. The experimentation carried out shows that the developed model has an accuracy higher than 97% and there is no significant difference with a visual analysis carried out by experts in tobacco crop.
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URI
https://hdl.handle.net/11537/26897
Bibliographic citation
Valdez, T. ...[et al]. (2019). An Android App for detecting damage on tobacco (Nicotiana tabacum L.) leaves caused by blue mold (Penospora tabacina Adam) [Aplicación móvil para la detección de daños en hojas de tabaco (Nicotiana tabacum L.) por moho azul (Penospora tabacina Adam)]. 7th International Conference On Software Process Improvement (CIMPS), 125-129. https://doi.org/10.1109/CIMPS.2018.8625628
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El texto completo de este trabajo no está disponible en el Repositorio Académico UPN por restricciones de la casa editorial donde ha sido publicado.
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