Research Article
End-to-End Semantic Leaf Segmentation Framework for Plants Disease Classification
Table 7
Reported results and their comparison with previous results.
| Method used | Year | Algorithm (s) | Reported accuracy (%) |
| Proposed method | 2022 | SLS and CNNs | 97.25 | Abbas et al. [39] | 2021 | DenseNet | 95.1 | Agarwal et al. [40] | 2020 | GNN-based network | 91.2 | Elhassouny and Smarandache [41] | 2019 | MobileNet | 90.3 | Durmuş et al. [42] | 2017 | Combination of squeez net and AlexNet | 95.65 | Howard et al. [43] | 2017 | MobileNet | 63.7 | Szegedy et al. [44] | 2016 | Inception V3 | 63.4 | Simonyan and Zisserman [45] | 2014 | VGG 16 | 77.2 |
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