Abstract:
A worldwide palatable food is vegetables cultivated by the farmer and it is most
important for a healthy body. There are three different vegetables such as Malabar
leaves, Bean Leaves and Papaya Leaves and fruits have been used in this approach
because of the big source of vitamins, calcium, iron etc. Total 887 vegetables data have
been used for classifying between disease affected and Healthy vegetables using most
transfer learning techniques such as MobileNet-V2, InceptionResNet-V2, Deep CNN,
NasNetLarge and ResNet152-V2 pre-trained model. InceptionResNet-V2 performs better
than others applied pretrained models with 93.60% accuracy with the lowest loss value
and there have been multiple activation functions as elu and ReLu, and for the dense
layer mainly used sigmoid and softmax function for classification of the model. The
proposed approach is a more acceptable model compared to existing models based on the
accuracy, recall, precision and f1 Score.
