Research Article
Enhancing the Paddy Disease Classification by Using Cross-Validation Strategy for Artificial Neural Network over Baseline Classifiers
Table 7
Comparison of performance of deep learning optimizers.
| | Author and year | Dataset | Methods | Classification performance |
| | [41] | Plant leaf disease | SGD, RMSProp, Adagrad, and Adamax | SGD got an accuracy of 0.95, RMSProp achieved an accuracy of 0.968, Adagrad achieved an accuracy of 0.9718, and Adamax achieved an accuracy of 0.984 | | [29] | Corn leaf disease | ADAM |
| | [42] | Paddy leaves | DNN |
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