Leaf Disease Detection Using Deep Learning Approach (original) (raw)

Abstract

This study attempted to investigate leaf disease detection using deep learning. In present works, it was employed the Convolution neural network (CNN) to detect leaf disease. The proposed model involved four steps to determine the type of disease, which were preprocessing, feature extraction, CNN layer design, and classification, and thus, the proposed model detected the disease with reasonable accuracy. The dataset concerned more than thousands of images deployed for the training and evaluation of the model. The validation part was also made with 25% of the dataset, 70% for training, and 5% for model testing. The designed model in this study provided 81.25% accuracy.

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Acknowledgment

The authors express their sincere appreciation to and respectfully appreciate the MGM University for providing the AI and Machine learning Labororatory.

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Authors and Affiliations

  1. University Department of Information and Communication Technology, MGM University, Chh. Sambhajinagar, Maharashtra, India
    Ayyakkannu Selvaraj, Parminder Kaur & Sharvari Tamane
  2. Department of Geo-Informatics, Park College of Engineering, Coimbatore, Tamil Nadu, India
    P. Boopathy
  3. Department of Mechatronics Engineering, Park College of Engineering, Coimbatore, Tamil Nadu, India
    V. Satheesh Kumar

Authors

  1. Ayyakkannu Selvaraj
  2. P. Boopathy
  3. V. Satheesh Kumar
  4. Parminder Kaur
  5. Sharvari Tamane

Corresponding author

Correspondence toAyyakkannu Selvaraj .

Editor information

Editors and Affiliations

  1. SRM Institute of Science and Technology, Chennai, Tamil Nadu, India
    Annie Uthra R.
  2. Department of Computer Technology, Anna University, Chennai, Tamil Nadu, India
    Kottilingam Kottursamy
  3. Department of Computer Technology, Anna University, Chennai, Tamil Nadu, India
    Gunasekaran Raja
  4. Manchester Metropolitan University, Manchester, UK
    Ali Kashif Bashir
  5. Department of Computer Engineering, Süleyman Demirel University, Isparta, Türkiye
    Utku Kose
  6. SRM Institute of Science and Technology, Chennai, Tamil Nadu, India
    Revathi Appavoo
  7. SRM Institute of Science and Technology, Chennai, Tamil Nadu, India
    Vimaladevi Madhivanan

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© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Selvaraj, A., Boopathy, P., Satheesh Kumar, V., Kaur, P., Tamane, S. (2024). Leaf Disease Detection Using Deep Learning Approach. In: R., A.U., et al. Deep Sciences for Computing and Communications. IconDeepCom 2023. Communications in Computer and Information Science, vol 2176. Springer, Cham. https://doi.org/10.1007/978-3-031-68905-5\_12

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