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Title: A neural network based plant classifier
Authors: Moshou, Dimitrios ×
Vrindts, Els
De Ketelaere, Bart
De Baerdemaeker, Josse
Ramon, Herman #
Issue Date: Mar-2001
Publisher: Elsevier sci ltd
Series Title: Computers and electronics in agriculture vol:31 issue:1 pages:5-16
Abstract: The Self-Organizing Map (SOM) neural network is used in a supervised way for a classification task. The neurons of the SOM are extended with local linear mappings. Error information obtained during training is used in a novel learning algorithm to train the classifier. The proposed method achieves fast convergence and good generalization. The classification method is then applied in a precision farming application, the classification of crops and weeds using spectral properties. The proposed method compares favorably with an optimal Bayesian classifier that is presented in the form of a probabilistic neural network. The classification performance of the proposed method is proven superior compared with other statistical and neural classifiers. (C) 2001 Elsevier Science B.V. All rights reserved.
URI: 
ISSN: 0168-1699
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Division of Mechatronics, Biostatistics and Sensors (MeBioS)
× corresponding author
# (joint) last author

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