Citrus Fruits–Leaves Diseases Detection and Classification with Optimized Deep CNN
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8031-4_9
Reference16 articles.
1. Khan MA et al (2018) CCDF: automatic system for segmentation and recognition of fruit crops diseases based on correlation coefficient and deep CNN features. Comput Electron Agric 155:220–236. https://doi.org/10.1016/j.compag.2018.10.013
2. Maltesh IG et al (2020) Plant disease detection and its solution using image classification. Int J Futur Res Dev 01(01):73–79. https://doi.org/10.46625/ijfrd.2020.1109
3. Moriya ÉAS et al (2021) Detection and mapping of trees infected with citrus gummosis using UAV hyperspectral data. Comput Electron Agric 188. https://doi.org/10.1016/j.compag.2021.106298
4. Ngugi LC et al (2021) Recent advances in image processing techniques for automated leaf pest and disease recognition—a review. Inf Process Agric 8(1):27–51. https://doi.org/10.1016/j.inpa.2020.04.004
5. Nanehkaran YA et al (2020) Recognition of plant leaf diseases based on computer vision. J Ambient Intell Humaniz Comput. https://doi.org/10.1007/s12652-020-02505-x
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