TY - JOUR
T1 - Using artificial neural networks for detecting damage on tobacco leaves caused by blue mold
AU - Avila-George, Himer
AU - Valdez-Morones, Topacio
AU - Pérez-Espinosa, Humberto
AU - Acevedo-Juárez, Brenda
AU - Castrox, Wilson
N1 - Publisher Copyright:
© 2018 International Journal of Advanced Computer Science and Applications.
PY - 2018
Y1 - 2018
N2 - Worldwide, the monitoring of pests and diseases plays a fundamental role in the agricultural sustainability; making necessary the development of new tools for early pest detection. In this sense, we present a software application for detecting damage in tobacco (Nicotiana tabacum L.) leaves caused by the fungus of blue mold (Peronospora tabacina Adam). This software application processes tobacco leaves images 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 accuracy higher than 97% and there is no significant difference with a visual analysis carried out by experts in tobacco crop.
AB - Worldwide, the monitoring of pests and diseases plays a fundamental role in the agricultural sustainability; making necessary the development of new tools for early pest detection. In this sense, we present a software application for detecting damage in tobacco (Nicotiana tabacum L.) leaves caused by the fungus of blue mold (Peronospora tabacina Adam). This software application processes tobacco leaves images 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 accuracy higher than 97% and there is no significant difference with a visual analysis carried out by experts in tobacco crop.
KW - Artificial neural networks
KW - Image processing
KW - Nicotiana tabacum L.
KW - Peronospora tabacina Adam
UR - https://www.scopus.com/pages/publications/85061433814
U2 - 10.14569/ijacsa.2018.090873
DO - 10.14569/ijacsa.2018.090873
M3 - Artículo
AN - SCOPUS:85061433814
SN - 2158-107X
VL - 9
SP - 579
EP - 583
JO - International Journal of Advanced Computer Science and Applications
JF - International Journal of Advanced Computer Science and Applications
IS - 8
ER -
