SalehAhmedShafin/XAI-and-Deep-Neural-Networks-for-Crop-Disease-Detection-and-Interpretability

Three different DNN models Xception, In- ceptionV3, and VGG19 were used for the classification of crop disease from the image dataset, and explainable AI XAI was used to evaluate their performance. InceptionV3 was achieved as the best model with the highest accuracy of 97.20% accuracy.

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