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Mango leaf disease classification using hybrid Coyote-Grey Wolf optimization tuned neural network model

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A Correction to this article was published on 18 January 2024

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Abstract

The identification of diseases in plants contributes an important role in captivating disease control methods for the improvement of quality and quantity of crop yield. Mango trees are affected by different diseases and the identification of diseases is a tedious task till now when those diseases are manually detected. This paper proposes the novel hybrid Coyote Grey Wolf optimization (CO-GWO) algorithm for the classification of mango leaves as normal or diseased. The classification process is done through the extraction of significant features from the segmented image. The Neural network (NN) classifier performs the classification task, with the weights being adjusted using the proposed algorithm that acts a major role in the enhancement of the classification accuracy. The effectiveness of the proposed model is evaluated concerning the evaluation metrics, namely accuracy, precision, recall, and F1 measure, and is attained to be 96.7111%, 97.5712%, 97.1504%, and 96.4792%, respectively. This shows the superiority of the proposed technique in the effective classification of mango leaf classification as compared with the existing techniques.

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Authors and Affiliations

  1. Department of Computer Science Engineering, SRM Institute of Science and Technology, Chennai, 600089, India

    J. Seetha

  2. Department of IT, Vignan’s Foundation for Science, Technology and Research (Deemed to be University) Vadlamudi, Guntur District, AP, India, 522213

    Ramakrishnan Ramanathan

  3. Department of ECE, GLA University, Mathura, Uttar Pradesh, India

    Vishal Goyal

  4. Department of Civil Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai, Tamil Nadu, 602105, India

    M. Tholkapiyan

  5. Department of Computer Science Engineering, Koneru Lakshmaiah Education Foundation, Deemed to Be University, Guntur, AP, 522502, India

    C. Karthikeyan

  6. Department of ECE, Jaypee University of Engineering and Technology, Guna, 473226, India

    Ravi Kumar

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  1. J. Seetha
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  3. Vishal Goyal
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  4. M. Tholkapiyan
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  5. C. Karthikeyan
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  6. Ravi Kumar
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Correspondence to J. Seetha.

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Seetha, J., Ramanathan, R., Goyal, V. et al. Mango leaf disease classification using hybrid Coyote-Grey Wolf optimization tuned neural network model. Multimed Tools Appl 83, 17699–17725 (2024). https://doi.org/10.1007/s11042-023-16964-9

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  • DOI: https://doi.org/10.1007/s11042-023-16964-9

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