Fig 1.
MobileRMSNet for cow disease.
Fig 2.
Functionality of the proposed model.
Table 1.
Sample data from training dataset.
Table 2.
Sample data from test dataset.
Fig 3.
Implementation of model-fitting.
Table 3.
Values at output layer using softmax.
Table 4.
True prediction of classes.
Table 5.
Visual representation of predicted and actual healthy and lumpy cows.
Table 6.
Mistakenly predicted class.
Fig 4.
Visual confusion map.
Table 7.
Confusion matrix of the proposed model.
Fig 5.
Model performance analysis: Training loss.
Fig 6.
Model performance analysis: Accuracy and loss trends.
Table 8.
Comparison with similar studies.