In this research, we propose an integrated approach that combines image processing techniques and deep learning-based classification for the identification and classification of dust on PV panels. The image processing algorithms are utilized to detect and segment dust particles on the. . Dust accumulation on photovoltaic (PV) modules is a major factor contributing to reduced power output, lower efficiency, and accelerated material degradation, particularly in arid and industrialized regions. In sieve analysis. . Dust can accumulate on solar panels due to a combination of factors. Solar panels are typically installed outdoors, which expose them to various environmental elements.
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