Leaf Recognition Using Artificial Neural Network

B. Shabari Shedthi (), M. Siddappa and Surendra Shetty ()
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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

A chapter in New Trends in Computational Vision and Bio-inspired Computing, 2020, pp 119-125 from Springer

Abstract: 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.

Keywords: Species; Features; Artificial neural network; Training; Pattern recognition (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-41862-5_11

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DOI: 10.1007/978-3-030-41862-5_11

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