드론 방제 살포 효율 개선을 위한 하향풍 및 액적 퇴적 분포 분석
Analysis of Drone Downwash and Droplet Deposition for Improved Aerial Spraying Efficiency in Agriculture
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초록
With the advancement of Unmanned Aerial Vehicles (UAV) technology, aerial spraying has been rapidly increasing in the agricultural field. Dronesoffer many advantages compared to traditional applicators, but they pose challenges such as spray drift risk and spray uniformity. To address theseissues, it is essential to understand the characteristics of complex airflow generated by drones and its consequences for the spray performance. Thisstudy aims to identify the air velocity distribution of drone downwash and the resulting spray deposition distribution on the ground, ultimately proposingoptimized spraying widths and criteria. Experiments were conducted using two agricultural drones with different propeller arrangements under variousflight and measurement conditions. The results showed that during hovering, the downward airflow affected the area within a distance of the radiusof the blade (R) from the center of the drone. When the drone was flying, the downward airflow was effective up to a distance of 2R. Dropletdeposition was concentrated at the center of the drone during hovering. However, during flying, the droplet deposition was more evenly distributed upto the distance of R. The drone downwash and droplet deposition were significantly different during flying compared to the hovering state. At aneffective spray width of 3R, the coefficient of variation (CV) was generally less than 16%, indicating a significant improvement in spray uniformity. These findings help optimize effective spraying techniques in drone-based applications.
Abstract
With the advancement of Unmanned Aerial Vehicles (UAV) technology, aerial spraying has been rapidly increasing in the agricultural field. Dronesoffer many advantages compared to traditional applicators, but they pose challenges such as spray drift risk and spray uniformity. To address theseissues, it is essential to understand the characteristics of complex airflow generated by drones and its consequences for the spray performance. Thisstudy aims to identify the air velocity distribution of drone downwash and the resulting spray deposition distribution on the ground, ultimately proposingoptimized spraying widths and criteria. Experiments were conducted using two agricultural drones with different propeller arrangements under variousflight and measurement conditions. The results showed that during hovering, the downward airflow affected the area within a distance of the radiusof the blade (R) from the center of the drone. When the drone was flying, the downward airflow was effective up to a distance of 2R. Dropletdeposition was concentrated at the center of the drone during hovering. However, during flying, the droplet deposition was more evenly distributed upto the distance of R. The drone downwash and droplet deposition were significantly different during flying compared to the hovering state. At aneffective spray width of 3R, the coefficient of variation (CV) was generally less than 16%, indicating a significant improvement in spray uniformity. These findings help optimize effective spraying techniques in drone-based applications.
참고문헌 (20)
- American Society of Agricultural and Biological Engineers, "ASABE S 572.1 droplet size classification", ASABE, ~ (2009)
- Azimi, A. H., "Nozzle spray distribution for pesticide application", Transactions of the ASAE, 28(5), pp.1410~1414 (1985)
- Chen, P., "Characteristics of unmanned aerial spraying systems and related spray drift : A review", Frontiers in Plant Science, 13(870956) (2022)
- Dhakad, S., "Agricultural drone spraying efficiency enhancement via patternater-based effective swath width determination", The Pharma Innovation Journal, 12(10), pp.952~961 (2023)
- Gu, J., "Unimpeded air velocity profiles of an air-assisted five-port sprayer", Transactions of the ASABE, 55(5), pp.1659~1666 (2012)
- Jin, Y. D., "Selection and bioactivity of tank mix combinations of pesticides for aerial application", The Korean Journal of Pesticide Science, 12(4), pp.403~413 (2008)
- Manual of unmanned aerial vehicle (UAVs) for spraying pesticide, "National Institute of Agricultural Sciences", NIAS, Rural Development Administration, ~ (2020)
- Park, J., "Airborne-spray-drift collection efficiency of nylon screens: Measurement and CFD analysis", Agronomy, 12(2865) (2022)
- Park, J., "Evaluation of efficiency of livestock vehicle disinfection systems using water-sensitive paper", Journal of the Korean Society of Agricultural Engineers, 62(4), pp.87~97 (2020)
- Sato, R., "Using airflow generated by two connected quadcopters", Sensors, 20(5), pp.1397~ (2020)
- Shouji, C., "Mean and turbulent flow characteristics of downwash air flow generated by a single rotor blade in agricultural drones", Computers and Electronics in Agriculture, 190(106471) (2021)
- Smith, D. B., "Uniformity and recovery of broadcast sprays using fan nozzles", Transactions of the ASAE, 35(1), pp.39~44 (1992)
- Tang, Q., "Numerical simulation of the downwash flow field and droplet movement from an unmanned helicopter for crop spraying", Computers and Electronics in Agriculture, 173(105468) (2020)
- Talaviya, T., "Implementation of artificial intelligence in agriculture for optimisation of irrigation and application of pesticides and herbicides", Artificial Intelligence in Agriculture, 4, pp.58~73 (2020)
- Wang, G., "Field evaluation of spray drift and environmental impact using an agricultural unmanned aerial vehicle(UAVs)sprayer", Science of the Total Environment, 737, pp.139793~ (2020)
- Wen, S., "Numerical analysis and validation of spray distributions disturbed by quad-rotor drone wake at different flight speeds", Computers and Electronics in Agriculture, 166(105036) (2019)
- Xinyu, X., "Drift and deposition of ultra-low altitude and low volume application in paddy field", International Journal of Agricultural and Biological Engineering, 7(4), pp.23~28 (2014)
- Yallappa, D., "Influence of the downwash airflow in hexacopter drone on the spray distribution pattern of boom sprayer", Journal of Applied and Natural Science, 15(1), pp.391~400 (2023)
- Zhan, Y., "Influence of the downwash airflow distribution characteristics of a plant protection UAVs on spray deposit distribution", Biosystems Engineering, 216, pp.32~45 (2022)
- Zhang, X. Q., "Effects of spray parameters of drone on the droplet deposition in sugarcane canopy", Sugar Tech, 22, pp.583~588 (2020)