CaPion

CaPion is an application to detect the presence of pests on green mustard leaves. The dataset used has the labels Pest and No Pest, each having 500 image data. Using image augmentation techniques, generates 500 additional image data on each dataset label, so the total dataset used is 2000 image data. The accuracy of the model used is 100% with an error of 0.0024. Using CNN architecture MobileNetV2 with transfer learning method. The techniques used in the transfer learning approach are freezing layer and hyperparameter.

AndroidFarmPest Detection