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Complex Identification of Plants from Leaves

  • Jair Cervantes
  • Farid Garcia Lamont
  • Lisbeth Rodriguez Mazahua
  • Alfonso Zarco Hidalgo
  • José S. Ruiz Castilla
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10956)

Abstract

The automatic identification of plant leaves is a very important current topic of research in vision systems. Several researchers have tried to solve the problem of identification from plant leaves proposing various techniques. The proposed techniques in the literature have obtained excellent results on data sets where the leaves have dissimilar features to each other. However, in cases where the leaves are very similar to each other, the classification accuracy falls significantly. In this paper, we proposed a system to deal with the performance problem of machine learning algorithms where the leaves are very similar. The results obtained show that combination of different features and features selection process can improve the classification accuracy.

Keywords

Plant identification Vision system Features selection 

Notes

Acknowledgments

This study was funded by the Research Secretariat of the Autonomous University of the State of Mexico with the research project 5228/2018/CI.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Jair Cervantes
    • 1
  • Farid Garcia Lamont
    • 1
  • Lisbeth Rodriguez Mazahua
    • 2
  • Alfonso Zarco Hidalgo
    • 1
  • José S. Ruiz Castilla
    • 1
  1. 1.Posgrado e InvestigaciónUAEMEX (Autonomous University of Mexico State)TexcocoMexico
  2. 2.Division of Research and Postgraduate StudiesInstituto Tecnológico de OrizabaOrizabaMexico

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