Comparative Analysis of Deep Learning Models for Photovoltaic Defect Classification Using Drone Imagery
The effective production of solar power energy in terms of efficiency will take place due to the quick detection of the defects in the photovoltaic cells. Manual techniques used to detect defects in the photovoltaic panels are very costly and time-consuming. This paper therefore mainly refers to the method of designing...