A Deep Convolutional Neural Network Approach for Plant Leaf Segmentation and Disease Classification in Smart Agriculture

Author:

Masmoudi Ilias,Lghoul Rachid

Publisher

Springer International Publishing

Reference17 articles.

1. Mohanty, S., Hughes, D., Salathé, M.: Using deep learning for image-based plant disease detection. Front. Plant Sci. 7 (2016). https://doi.org/10.3389/fpls.2016.01419

2. UNEP. Smallholders, Food Security, and the Environment. Rome : International Fund for Agricultural Development (IFAD) (2013). https://www.ifad.org/documents/10180/666cac2414b643c2876d9c2d1f01d5dd

3. Abdu, A., Mokji, M., Sheikh, U.: Machine Learning for Plant Disease Detection: Investigative Comparison Between Support Vector Machine and Deep Learning (2020). https://doi.org/10.11591/ijai.v9.i3

4. Fang, Y., Ramasamy, R.: Current and prospective methods for plant disease detection. Biosensors 5(3), 537–561 (2015). https://doi.org/10.3390/bios5030537

5. Reddy, P.R., Divya, S.N., Vijayalakshmi, R.: Plant disease detection technique tool—a theoretical approach. Int. J. Innov. Technol. Res. 4, 91–93 (2015)

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