Classification of beetle type using the Convolutional Neural Network algorithm

Beetles (Order Coleoptera) are the largest order of animals. a group insects that make up Coleoptera. Estimates total number living beetle species millions whose features it difficult to visually identify species. Currently, classification process is still carried out using direct observation and personal assumptions. CNN model ResNet50 one ResNet variants has 50 layers VGG16 utilizes convolutional layer with small filter specification (3×3) always uses same padding maxpool 2x2 filter. In this Algorithm (CNN) model, succeeded in exploring beetles accuracy, precision, recall F-1 Score values 93%, 94.24%, 89.28%, 91.69%, while conducting research on 86.9%, 87.5%, 87%, 87.2%, so can be said algorithm better than model.