Conventional CNN methods like VGG-16, ResNet-50 and MobileNet models provide better accuracies in PV panel defect classification [23,24]. The PV panel faults are identified electrically too. The fuzzy logic
The need for automatic defect inspection of solar panels becomes more vital with higher demands of producing and installing new solar energy systems worldwide. Deep convolutional neural
