Droplet deposition and spatial drift distribution characteristics of aerial spraying based on the determination of effective swath
Abstract
Abstract: In order to accurately explore the droplets distribution characteristics on the ground and space during the aerial spray process, a single-pass application test based on the determination of effective swath by a Bell206L4 helicopter was carried out. The accurate effective swath width of the helicopter spray operation was obtained, and the cumulative and spatial drift characteristics of droplet deposition when the helicopter used different aerial nozzles under natural environment were systematically analyzed. The results showed that the average effective swath width of three different types of nozzle were 25.3 m (CP02), 29.7 m (CP03) and 29.3 m (CP04) with an average flight altitude of 11 m and velocity of 17 m/s. The average deposition volume in the effective swath area of each sampling line was in the range of 1.208-2.735 ?L/cm2. Most of the droplets in each application were concentrated near the route and the adjacent locations of the effective swath area. In addition, the droplets with small size were trend to drift, and the increased nozzle orifice size was beneficial to reduce drift. In terms of spatial drift distribution, small-sized droplets usually gathered in the upper space, larger-sized droplets were easy to gather in the middle space, and the medium-sized droplets were trend to gather in the lower space. The research results were helpful to optimize the spray plan and provide reference for precision aerial application.
Keywords: aerial spray, droplet deposition, spatial drift, effective swath, helicopter, precision agricultural
DOI: 10.33440/j.ijpaa.20210401.145
Citation: Yao W X, Guo S, Yu F H, Du W, Meng Y H, Wang J, Chen P C, et al. Droplet deposition and spatial drift distribution characteristics of aerial spraying based on the determination of effective swath. Int J Precis Agric Aviat, 2021; 4(1): 36–43.
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Godfray H C, Beddington J R, Crute I R, et al. Food security: the challenge of feeding 9 billion people. Science, 2010; 327(5967): 812–818. doi: 10.1126/science.1185383.
Del Cerro J, Cruz Ulloa C, Barrientos A, et al. Unmanned aerial vehicles in agriculture: A survey. Agronomy, 2021; 11(2): 203. doi: 10.3390/ agronomy11020203.
Lan Y B, Chen S D, Fritz B K. Current status and future trends of precision agricultural aviation technologies. International Journal of Agricultural & Biological Engineering, 2017; 10(3): 1–17. doi: 10.3965/ j.ijabe.20171003.3088.
Dong Y J, Zeng F W, Yuan J, Zhang G B, Chen Y X, Liu X J, et al. Integrated rice management simultaneously improves rice yield and nitrogen use efficiency in various paddy fields. Pedosphere, 2020; 30(6): 863–73. doi: 10.1016/s1002-0160(20)60042-x.
Dorr G?Hanan J?Adkins S, et al? Spray deposition on plant surfaces: a modelling approach. Functional Plant Biology, 2008; 35(2): 988–996. doi: 10.1071/FP08056.
Hilz E, Vermeer A W P. Spray drift review: The extent to which a formulation can contribute to spray drift reduction. Crop Protection, 2013; 44(1): 75–83. doi: 10.1016/j.cropro.2012.10.020.
Guo S, Li J Y, Yao W X, et al. Distribution characteristics on droplet deposition of wind field vortex formed by multirotor UAV. PLoS ONE, 2019; 14(7), e0220024. doi: 10.1371/journal.pone.0220024.
Thomson S J, Smith L A, Hanks J E. Evaluation of application accuracy and performance of a hydraulically operated variable-rate aerial application system. Transactions of the ASABE, 2009; 52(3): 715–722. doi: 10.13031/2013.27389.
Fritz B K. Meteorological effects on deposition and drift of aerially applied sprays. Transactions of the ASABE, 2006; 49(5): 1295–1301. doi: 10.13031/2013.22038.
Yao W X, Lan Y B, Hoffmann W C, et al. Atomization characteristics of multi-type aerial nozzles in wind tunnel and low airflow velocity condition in manned agricultural helicopter. International Journal of Precision Agricultural Aviation, 2019; 2(1): 9–17. doi: 10.33440/ j.ijpaa.20190201.0031.
Yao W X, Lan Y B, Hoffmann W C, et al. Droplet size distribution characteristics of aerial nozzles by Bell206L4 helicopter under medium and low airflow velocity wind tunnel condition and field verification test. Applied sciences, 2020; 10(6): 2179. doi: 10.3390/app10062179.
Meng Y H, Su J Y, Song J L, et al. Experimental evaluation of UAV spraying for peach trees of different shapes: Effects of operational parameters on droplet distribution. Computers and Electronics in Agriculture, 2020; 170, 105282. doi: 10.1016/j.compag.2020.105282.
Wang J, Lan Y B, Yao W X, et al. Aerial spraying application of multi-rotor unmanned aerial vehicle on areca trees. International Journal of Precision Agricultural Aviation, 2020; 3(4): 51–64. doi: 10.33440/ j.ijpaa.20200304.134.
Tang Y, Hou C J, Luo S M, et al. Effects of operation height and tree shape on droplet deposition in citrus trees using an unmanned aerial vehicle. Computers & Electronics in Agriculture, 2018; 148:1–7. doi: 10.1016/ j.compag.2018.02.026.
Chen P C, Lan Y B, Huang X Y, et al. Droplet deposition and control of planthoppers of different nozzles in two-stage rice with a quadrotor unmanned aerial vehicle. Agronomy, 2020; 10(2): 303. doi: 10.3390/ agronomy10020303.
Rahman M F F, Fan S R, Zhang Y, et al. A comparative study on application of unmanned aerial vehicle systems in agriculture. Agriculture, 2021; 11(1): 22. doi: 10.3390/agriculture11010022.
Xu T Y, Yu F H, Cao Y L, et al. Vertical distribution of spray droplet deposition of plant protection multi rotor UAV for japonica rice. Transactions of the Chinese Society for Agricultural Machinery, 2017; 48(10): 101–107. doi: 10. 6041/j.issn. 1000–1298. 2017.10.012. (in Chinese)
Zeng A J, Wang C L, Song J L, et al. Effects of nozzle types, adjuvants and environmental conditions on spray drift potential of unmanned aerial vehicles in a wind tunnel. Chinese Journal of Pesticide Science, 2020; 22(2): 315–323. doi: 10.16801/j.issn.1008-7303.2020.0067. (in Chinese)
Yu F H, Feng S, Yao W X, et al. BAS-ELM based UAV hyperspectral remote sensing inversion modeling of rice canopy nitrogen content. International Journal of Precision Agricultural Aviation, 2020; 3(3): 59–64. doi: 10.33440/j.ijpaa.20200303.105.
Zhang R R, Li Y, Yi T C, Chen L P. Design and experiments of control system of variable pesticide application for manned helicopter. Journal of Agricultural Mechanization Research, 2017; 10: 124–127. doi: 10.13427/j.cnki.njyi.2017.10.025. (in Chinese)
Chen S D, Lan Y B, Li J Y, et al. Effect of spray parameters of small unmanned helicopter on distribution regularity of droplet deposition in hybrid rice canopy. Transactions of the Chinese Society of Agricultural Engineering, 2016; 32(17): 40–46. doi: 10.11975/ j.issn.1002-6819.2016.17.006. (in Chinese)
Chen S D, Lan Y B, Li J Y, et al. Evaluation and test of effective spraying width of aerial spraying on plant protection UAV. Transactions of the Chinese Society of Agricultural Engineering, 2017; 33(7): 82–90. doi: 10.11975/j.issn.1002–6819.2017.07.011. (in Chinese)
Yang Z L, Ge L Z, Qi L J, et al. Influence of UAV rotor down-wash airflow on spray width. Transactions of the Chinese Society for Agricultural Machinery, 2018; 2018; 49(1): 116–122. doi: 10.6041/
j.issn.1000–1298.2018.01.014. (in Chinese)
Zhang D Y, Chen L P, Zhang R R, et al. Evaluating effective swath width and droplet distribution of aerial spraying systems on M-18B and Thrush 510G airplanes. International Journal of Agricultural & Biological Engineering, 2015; 8(2): 21–30. doi:10.3965/j.ijabe.20150802.1493.
Yao W X, Lan Y B, Wang J, et al. Droplet drift characteristics of aerial spraying of AS350B3e helicopter. Transactions of the Chinese Society of Agricultural Engineering, 2017; 33(22): 75–83. doi: 10.11975/ j.issn.1002–6819.2017.22.010. (in Chinese)
Yao W X, Lan Y B, Wen S, et al. Evaluation of droplet deposition and effect of variable-rate application by a manned helicopter with AG-NAV Guía system. International Journal of Agricultural & Biological Engineering, 2019; 12(1): 172–178. doi: 10.25165/j.ijabe.20191201.4039.
Hoffmann W C. Comparison of three imaging systems for water-sensitive papers. Applied Engineering in Agriculture, 2005; 21(6): 961–964. doi: 10.13031/2013.20026
Sudheer K P, Panda R K. Digital image processing for determining drop sizes from irrigation spray nozzles. Agricultural Water Management, 2000; 45(2): 159–167. doi: 10.1016/S0378-3774(99)00079-7.
MH/T Standards. 1040-2011: Determining application rates and distribution patterns from aerial application equipment, Beijing: MHT, 2011. (in Chinese)
MH/T Standards. 1050-2012: Field measurement methods for Aircraft spray drift, Beijing: MHT, 2012. (in Chinese)
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