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Leaf Recognition Using Artificial Neural Network

In: New Trends in Computational Vision and Bio-inspired Computing

Author

Listed:
  • B. Shabari Shedthi

    (NMAM Institute of Technology (Visvesvararaya Technological University, Belagavi), Department of CSE)

  • M. Siddappa

    (SS Institute of Technology, Department of CSE)

  • Surendra Shetty

    (NMAM Institute of Technology (Visvesvararaya Technological University, Belagavi), Department of MCA)

Abstract

Agriculture is a vast field with variety of species with different attributes which are specific for species. First step in all identification or recognition is image pre processing. In recent world, this recognition has become active in the field of medicine plants and flora species. Leaf features are extracted and based on those features, the neural network is trained to recognize the leaf. In this paper Artificial Neural Network (ANN) is used for leaf classification and Graphical User Interface (GUI) is developed to identify the leaf automatically. Six types of leaf images used for identification and achieved 90.9% accuracy. As well as result is evaluated with other performance metrics like Recall, Precision and F1 Score.

Suggested Citation

  • B. Shabari Shedthi & M. Siddappa & Surendra Shetty, 2020. "Leaf Recognition Using Artificial Neural Network," Springer Books, in: S. Smys & Abdullah M. Iliyasu & Robert Bestak & Fuqian Shi (ed.), New Trends in Computational Vision and Bio-inspired Computing, pages 119-125, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-41862-5_11
    DOI: 10.1007/978-3-030-41862-5_11
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