Enhancing Greenhouse Performance Through Robotic Roof Cleaning Solutions: A Review

Abstract

The robotics industry has seen significant growth and advancement in the agricultural sector, particularly, in agricultural greenhouses. This study presents the most common cleaning methods for greenhouse roofs, including manual and automatic cleaning techniques. On the other hand, it provides greenhouse types, designs, and factors affecting lighting. It highlights the importance of cleaning and discusses the challenges of various robot designs and their future prospects. It was found that dust accumulation on greenhouse roofs could decrease the light intensity by 30%. Consequently, it could reduce the crop yield and quality by over 30%. Therefore, regular cleaning is crucial to provide the optimal light intensity for crops. The manual or traditional cleaning methods can cause damage, injuries, inefficiency, high costs, and labor shortages. This study investigates greenhouse-cleaning robots and devices in terms of their operation, specifications, quality, and accuracy. Meanwhile, it summarizes the pros and cons of automatic cleaning. Furthermore, it evaluates robots based on a movement system, cleaning efficiency, and all characteristics in different countries. It was found that robots for Venlo-type greenhouses are the most common and advanced robots, which achieve a light transmittance of up to 88% after cleaning. China and the Netherlands are at the forefront of commercial research technology applications. In conclusion, this study recommends investing more in robotic greenhouse cleaners to boost productivity and develop an intelligent cleaning system for greenhouse roofs. In addition, further research should be implemented to improve the durability and decrease the prices of robots.