Mango Leaf Images Quality Improvement Techniques Using Subjective Approach of Image Enhancement
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-1724-8_22
Reference9 articles.
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2. Koppal LB, Rajesh TM (2020) Review on the techniques used for identification of diseased leaves, i-manager's J Pattern Recogn 7(1):32–39. https://doi.org/10.26634/jpr.7.1.17375
3. Deepa (2018) A pre processing approach for accurate identification of plant diseases in leaves. In: 2018 third international conference on electrical, electronics, communication, computer technologies and optimization techniques (ICEECCOT) 14–15, December 2018, IEEE
4. Chouhan SS, Kaul A, Singh UP, Jain S (2018) Bacterial foraging optimization based radial basis function neural network (BRBFNN) for identification and classification of plant leaf diseases: an automatic approach towards plant pathology. IEEE Access 6:8852–8863. https://doi.org/10.1109/ACCESS.2018.2800685
5. Khamparia A, Saini G, Gupta D et al (2020) Seasonal crops disease prediction and classification using deep convolutional encoder network. Circuits Syst Signal Process 39:818–836. https://doi.org/10.1007/s00034-019-01041-0
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