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3 articles for “Solar Panel Soiling Detection”
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An approach for Intelligent detection of dirty PV panels using image processing with YOLOv8
Abstract: The efficiency of solar photovoltaic (PV) systems is greatly affected by the condition of panel surfaces, as dust buildup and other impurities can noticeably reduce power output. Traditional maintenance methods rely largely on manual inspection, which can be subjective, inconsistent, and impractical for large-scale installations. To address these challenges, this work investigates a deep learning-based computer vision approach for the automatic assessment of solar panel cleanliness. In this work, a …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 12, Issue 2, 2026 Read article
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Detailed survey on detection of Dirtiness of PV panels using different approaches
Abstract: The accumulation of dust, dirt, bird droppings, pollen, and other environmental contaminants on photovoltaic (PV) panels significantly reduces their power generation efficiency and increases operational and maintenance costs. Therefore, timely and accurate detection of the cleanliness condition of solar panels is essential for maintaining optimal energy production, improving system reliability, and extending the operational lifespan of PV installations. In recent years, considerable research interest has been directed toward automated soiling …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 2, 2026 Read article
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Solar Based Smart Irrigation System Using NodeMCU and IoT
Abstract: Power and water resources are not sufficient in the current situation to meet the needs of the farmer, because they are not efficient at juggling several demands, such as the availability of water, energy sources, and timely soil profile monitoring. Traditionally used irrigation systems are proving to be less ineffective. We created a system to monitor the condition of soil using sensors connected to Node MCU, taking advantage of this …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 8, Issue 2, 2022 · pp. 1–8 Read article