An Efficient Plant Disease Classification Using Pre-trained CNN Model and Handcrafted Features

Author:

Kumar Satrughan,Rajeev Naga Venkata,Panthagani Muni Lokesh,Vempalli Nikhil

Publisher

Springer Nature Singapore

Reference11 articles.

1. Zhou C et al (2021) Tomato leaf disease identification by restructured deep residual dense network. IEEE Access 9:28822–28831

2. Abbas A, Jain S, Gour M, Vankudothu S (2021) Tomato plant disease detection using transfer learning with C-GAN synthetic images. Comput Electron Agric 187:106279

3. Majid A, Khan MA, Alhaisoni M, Yar MAE, Tariq U, Hussain N, Nam Y, Kadry S (2022) An integrated deep learning framework for fruits diseases classification

4. Alom MZ, Taha TM, Yakopcic C, Westberg S, Sidike P, Nasrin MS, Van Esesn BC, Awwal AAS, Asari VK (2018) The history began from alexnet: a comprehensive survey on deep learning approaches. arXiv:1803.01164

5. Wang B, Wang D (2019) Plant leaves classification: a few-shot learning method based on siamese network. Ieee Access 7:151754

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