Effective multi-crop disease detection using pruned complete concatenated deep learning model

Author:

Arumuga Arun R.,Umamaheswari S.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference44 articles.

1. Development of Efficient CNN model for Tomato crop disease identification;Agarwal;Sustainable Computing: Informatics and Systems,2020

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4. C-Net: A reliable convolutional neural network for biomedical image classification;Barzekar;Expert Systems with Applications,2022

5. Cai, S., Shu, Y., Chen, G., Ooi, B. C., Wang, W., & Zhang, M. (2019). Effective and efficient dropout for deep convolutional neural networks. arXiv preprint arXiv:1904.03392.

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