Maize crop disease detection using NPNet-19 convolutional neural network

Author:

Nagaraju M.,Chawla PriyankaORCID

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference50 articles.

1. Too EC, Yujian L, Yingchun NS (2019) A comparative study of fine-tuning deep learning models for plant disease identification. Comput Electron Agric 161:272–279

2. Jiang P, Chen Y, Liu B, He D, Liang C (2019) Real-time detection of apple leaf diseases using deep learning approach based on improved convolutional neural networks. IEEE Access 7:9069–59080

3. Liu B, Zhang Y, He DJ, Li Y (2018) Identification of apple leaf diseases based on deep convolutional neural networks. Symmetry 25:10–11. https://doi.org/10.3390/sym10010011

4. Peng Y, Liao M, Deng H, Ling AO, Song Y, Huang W, Hua J (2020) CNN-SVM: a classification method for fruit fly image the complex background. IET Res J IET Cyber-Phys Syst: Theor Appl 25:1–5

5. Priyadharshini RA, Arivazhagan S, Arun M, Mirnalini A (2019) Maize leaf disease classification using deep convolutional neural networks. Neural Comput Appl. https://doi.org/10.1007/s00521-019-04228-3:1-9

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