Application of artificial neural networks to classify Avena fatua and Avena sterilis based on seed traits: insights from European Avena populations primarily from the Balkan Region.

Journal: BMC plant biology
PMID: 38867157

Abstract

BACKGROUND: Avena fatua and A. sterilis are challenging to distinguish due to their strong similarities. However, Artificial Neural Networks (ANN) can effectively extract patterns and identify these species. We measured seed traits of Avena species from 122 locations across the Balkans and from some populations from southern, western, and central Europe (total over 22 000 seeds). The inputs for the ANN model included seed mass, size, color, hairiness, and placement of the awn attachment on the lemma.

Authors

  • Mostafa Oveisi
    Department of Agronomy and Plant Breeding, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran.
  • Danijela Sikuljak
    Institute for Plant Protection and Environment, Belgrade, Serbia.
  • Ana A AnÄ‘elković
    Institute for Plant Protection and Environment, Belgrade, Serbia.
  • Dragana Bozic
    Faculty of Agriculture, University of Belgrade, Belgrade, Serbia.
  • Nenad Trkulja
    Institute for Plant Protection and Environment, Belgrade, Serbia.
  • Ramin Piri
    Department of Agronomy and Plant Breeding, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran.
  • Peter Poczai
    Botany and Mycology Unit, Finnish Museum of Natural History, University of Helsinki, Helsinki, Finland. peter.poczai@helsinki.fi.
  • Sava Vrbnicanin
    Faculty of Agriculture, University of Belgrade, Belgrade, Serbia. sava@agrif.bg.ac.rs.

Keywords

External Resources

Popular Topics
Recent Journals