Combining Generative Adversarial Networks with Transfer Learning for Deep Learning-Based Pomegranate Plant Leaf Disease Detection

Author:

Jamadar Riyazahemed A.,Sharma Anoop,Wagh Kishor

Publisher

Springer Nature Singapore

Reference14 articles.

1. Arsenovic M, Karanovic M, Sladojevic S, Anderla A, Stefanovic D (2019) Solving current limitations of deep learning based approaches for plant disease detection. Symmetry 11(7):939

2. Liu B, Zhang Y, He D, Li Y (2018) Identification of apple leaf diseases based on deep convolutional neural networks. Symmetry 10:11

3. Goodfellow I, Pouget-Abadie J, Mirza M, Xu B, Warde-Farley D, Ozair S, Courville A, Bengio Y (2014) Generative adversarial nets. In: Advances in neural information processing systems. Curran Associates, Inc., Red Hook, NY, USA, pp 2672–2680

4. Radford A, Metz L, Chintala S (2015) Unsupervised representation learning with deep convolutional generative adversarial networks. https://arxiv.org/abs/1511.06434

5. Zhang J, Rao Y, Man C, Jiang Z, Li S (2021) Identification of cucumber leaf diseases using deep learning and small sample size for agricultural Internet of Things. Int J Distrib Sens Netw 17(4):15501477211007408

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A comprehensive survey for generative data augmentation;Neurocomputing;2024-10

2. A Novel Transfer Learning Approach for Detection of Pomegranates Growth Stages;IEEE Access;2024

3. Scalable and Privacy-Severity Analysis of Pomegranate Leaf Diseases: Federated Learning with CNNs;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

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