Automated Plant Identification using Artificial Neural Networks
Clark, JY, Corney, DPA and Tang, HL (2012) Automated Plant Identification using Artificial Neural Networks In: CIBCB'12, 2012-05-09 - 2012-05-12, San Diego, USA.
Available under License : See the attached licence file.
This paper describes a method of training an artificial neural network, specifically a multilayer perceptron (MLP), to act as a tool to help identify plants using morphological characters collected automatically from images of botanical herbarium specimens. A methodology is presented here to provide a practical way for taxonomists to use neural networks as automated identification tools, by collating results from a collection of neural networks. A case study is provided using data extracted from specimens of the genus Tilia in the Herbarium of the Royal Botanic Gardens, Kew, UK.
|Item Type:||Conference or Workshop Item (Conference Paper)|
|Divisions :||Faculty of Engineering and Physical Sciences > Computing Science|
|Date :||14 June 2012|
|Identification Number :||https://doi.org/10.1109/CIBCB.2012.6217250|
|Additional Information :||© 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.|
|Depositing User :||Symplectic Elements|
|Date Deposited :||23 Sep 2013 15:42|
|Last Modified :||26 Sep 2013 11:01|
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