TY - JOUR
T1 - A method with neural networks for the classification of fruits and vegetables
AU - de Jesús Rubio, José
N1 - Publisher Copyright:
© 2016, Springer-Verlag Berlin Heidelberg.
PY - 2017/12/1
Y1 - 2017/12/1
N2 - In this paper, a novel method for the classification of fruits and vegetables is introduced. This technique is divided into two parts, the electronic nose and classification method. First, an electronic nose is designed with an arduino microcontroller and with some electronic sensors to obtain real data of the smells of fruits or vegetables. Second, a classification method is introduced with a neural network to detect between three kinds of objects: fruits or vegetables. The introduced strategy is validated by three experiments with the adaline, multilayer, and radial basis function neural networks.
AB - In this paper, a novel method for the classification of fruits and vegetables is introduced. This technique is divided into two parts, the electronic nose and classification method. First, an electronic nose is designed with an arduino microcontroller and with some electronic sensors to obtain real data of the smells of fruits or vegetables. Second, a classification method is introduced with a neural network to detect between three kinds of objects: fruits or vegetables. The introduced strategy is validated by three experiments with the adaline, multilayer, and radial basis function neural networks.
KW - Adaline neural networks
KW - Classification
KW - Electronic nose
KW - Fruits
KW - Multilayer neural networks
KW - Radial basis function neural networks
KW - Vegetables
UR - http://www.scopus.com/inward/record.url?scp=84978101015&partnerID=8YFLogxK
U2 - 10.1007/s00500-016-2263-2
DO - 10.1007/s00500-016-2263-2
M3 - Artículo
SN - 1432-7643
VL - 21
SP - 7207
EP - 7220
JO - Soft Computing
JF - Soft Computing
IS - 23
ER -