Automated plant identification using artificial neural networks

  title={Automated plant identification using artificial neural networks},
  author={Jonathan Y. Clark and David P. A. Corney and Hongying Lilian Tang},
  journal={2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)},
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 population of neural networks. A case study is provided using data extracted… CONTINUE READING


Publications referenced by this paper.
Showing 1-10 of 22 references

Phyllometric parameters and artificial neural networks for the identification of Banksia accessions

  • G. Messina, C. Pandolfi, S. Mugnai, E. Azzarello, K. Dixon, S. Mancuso
  • Australian Systematic Botany,
  • 2009
1 Excerpt

Artificial neural networks for species identification by taxonomists

  • J. Y. Clark
  • BioSystems, vol. 72, 2003, pp. 131-147.
  • 2003
2 Excerpts

Azumah, “Digital future for paleoclimate estimation from fossil leaves? Preliminary results.

  • P. M. Huff, E.J.P. Wilf
  • Palaios 18,
  • 2003
1 Excerpt

Similar Papers

Loading similar papers…