Droplet deposition characteristics of plant protection UAV spraying at night
Abstract
Abstract: The spraying technology of plant protection UAVs is developing rapidly. Although they can spray autonomously at night, the application performance under meteorological conditions at night still needs to be evaluated. In this research, the droplet deposition characteristics of nighttime and daytime spray of a P20 UAV with different operating parameters were compared. Specifically, the number of droplets deposited in different parts of the plant was evaluated. The results showed that under the same operating parameters the application time had a significant effect on the number of droplets deposited and coverage rate, the droplets number and coverage rate for the nighttime application were 43.47% and 37.21% higher than that by the daytime application. In terms of the droplets deposition in different parts of cotton plants, for the nighttime application, the proportions of the droplets on the upper, middle and lower layer to the total droplet number in the vertical direction of the plant were 41.24%, 35.71% and 23.05%, respectively and those were 43.09%, 33.99% and 22.91% for the daytime application. There were more droplets deposited on the middle and lower layer of the plants when spraying at night than those in the day. Additionally, the deposited droplets on the backside of the leaf account for 21.92% of the total droplets on a leaf for the nighttime application on average, while it was 20.23% for the daytime application, this proportion did not exceed 25% within all treatments. In the daytime, the droplet deposition effect was better at the flight speed of 3.0 ~3.5 m/s and flight height of 1.5~2.0 m, while for the nighttime application the best parameters were the flight speed of 3.0~4.5 m/s and the flight height of2 m. The deposition amount and penetration of droplets of the nighttime application were better than that during the daytime, and the optimal operating speed at night is also faster, so spray at night can help to improve UAV operating efficiency.
Keywords: plant protection UAV, spraying at night, droplet distribution, parameters optimization
DOI: 10.33440/j.ijpaa.20200304.103
Citation: Tian Z W, Xue X Y, Cui L F, Chen C, Peng B. Droplet deposition characteristics of plant protection UAV spraying at night. Int J Precis Agric Aviat, 2020; 3(4): 18–23.
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Farming Smarter Association, Lethbridge, Alberta. Project 2012F083R: Night spraying - pesticide efficacy with night time application (2012-2014), May 31, 2015. URL: https://www.farmingsmarter.com/wp-content/files/ 2012/11/Night-Spraying-Herbicide-Report.pdf.
Lou Z, Xin F, Han X Q, Lan Y B, Duan T Z, Fu W. Effect of unmanned aerial vehicle flight height on droplet distribution, drift and control of cotton aphids and spider mites. Agronomy, 2018; 8(9): 187–188. doi: 10.3390/agronomy8090187.
Faiçal B S, Freitas H, Gomes P H, Mano L Y, Pessin G, de Carvalho A C.P.L.F, Krishnamachari B, Ueyama, J. An adaptive approach for UAV-based pesticide spraying in dynamic environments. Computers and Electronics in Agriculture, 2017; 138: 210–223. doi: 10.1016/ j.compag.2017.04.011.
Tian Z W, Xue X Y, Li L, Cui L F, Wang G, Li Z J. Research status and prospects of spraying technology of plant-protection unmanned aerial vehicle. Journal of Chinese Agricultural Mechanization, 2019; 40(1): 37–45. doi: 10.13733/j.jcam.issn.2095-5553.2019.01.08. (in Chinese)
Lou S Y, Xue X Y, Gu W, Cui L F, Xiao H T, Tian Z W. Current status and trends of agricultural plant protection unmanned aerial vehicle. Journal of Agricultural Mechanization Research, 2017; 39(12): 1–6+31. doi: 10.13427/j.cnki.njyi.2017.12.001. (in Chinese)
Wang Y, Chen H T, Li Y, Li H C. Path planning method based on grid-GSA for plant protection UAV. Transactions of the Chinese Society for Agricultural Machinery, 2017; 48(7): 29–37. doi: 10.6041/ j.issn.1000-1298.2017.07.004. (in Chinese)
Lan Y B, Wang L L, Zhang Y L. Application and prospect on obstacle avoidance technology for agricultural UAV. Transactions of the Chinese Society of Agricultural Engineering, 2018; 34(9): 104–113. doi:10.6041/j.issn.1000-1298.2017.07.004. (in Chinese)
Wu K H, Sun X C, Zhang J C, Chen F N. Terrain following method of plant protection UAV based on height fusion. Transactions of the Chinese Society for Agricultural Machinery, 2018; 49(6): 17–23. doi: 10.6041/j.issn.1000-1298.2018.06.002. (in Chinese)
Lian Q, Tan F, Fu X M, Liu X, Zhang P, Zhang W. Design of precision variable-rate spray system for unmanned aerial vehicle using automatic control method. Int J Agric & Biol Eng, 2019; 12(2): 29–35. doi: 10.25165/j.ijabe.20191202.4701.
Xue X Y, Tu K, Qin W C, Lan Y B, Zhang H H. Drift and deposition of ultro-low altitude and low volume application in paddy field. Int J Agric & Biol Eng, 2014; 7(4): 23–28. doi: 10.3965/j.ijabe.20140704.003.
Li J Y, Guo S, Yao W X, Zhan Y L, Li Y F. Distribution characteristics of droplet size in rice field and wind tunnel simulation test under airflow operation. Transactions of the Chinese Society for Agricultural Machinery, 2019; 50(8): 148–156. (in Chinese)
Huang Y B, Thomson S J, Hoffmann W C, Lan Y B, Fritz B K. Development and prospect of unmanned aerial vehicle technologies for agricultural production management. Int J Agric & Biol Eng, 2013; 6(3): 1–10. doi: 10.3965/j.ijabe.20130603.001.
Zhao B M, Zhang Q, Zhu Y Y. Control Efficacy of cotton aphids by unmanned aerial vehicle spraying sulfoxaflor at low altitudes. Pesticide Science and Administration, 2017; 38(2): 54–57. doi: 10.3969/ j.issn.1672-6820.2017.02.015. (in Chinese)
Lan Y B,Wang G B. Industry development status and development prospects of China's plant protection drones. Agricultural Engineering Technology, 2018; 38(9): 17–27. doi: 10.16815/j.cnki.11-5436/ s.2018.09.004. (in Chinese)
B. K. Fritz, W. C. Hoffmann, Y. Lan, S. J. Thompson, Y. Huang. Low-level atmospheric temperature inversions and atmospheric stability: characteristics and impacts on agricultural applications. Agricultural Engineering International: CIGR Journal, 2008; 10: 115–126.
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.
Fritz B K, Hoffmann W C. Atmospheric effects on fate of aerially applied agricultural sprays. Agricultural Engineering International: CIGR Journal, 2008; 10: 1–15.
Li X Q, Li Y F, Liu L, et al. Latin hypercube sampling method for location selection of multi-infeed HVDCS system terminal. Energies, 2020; 13(7): 1646–1652. doi: 10.3390/en13071646.
Chen S D, Lan Y B, Li J Y, Zhou Z Y, Liu A M, Mao Y D. Effect of wind field below unmanned helicopter on droplet deposition distribution of aerial spraying. Int J Agric & Biol Eng, 2017; 10(3): 67–77. doi: 10.3965/j.ijabe.20171003.3078.
Fan J R, Wang Z H, Feng Y N, Li Y X. Effects of rotor wheel base on downwash flow aggregation and wind-resistance. Mechanical Science and Technology for Aerospace Engineering, 2019; 38(12): 1966–1974. doi: 10.13433/j.cnki.1003-8728.20190070. (in Chinese)
Yang Z L, Ge L Z, Qi L J, Cheng Y F, Wu Y L. Influence of UAV rotor down-wash airflow on spray width. Transactions of the Chinese Society for Agricultural Machinery, 2018; 49(1): 116–122. doi: 10.6041/ j.issn.1000-1298.2018.01.014. (in Chinese)
Yuan H Z, Wang G B. Effects of droplet size and deposition density on field efficacy of pesticides. Plant Protection, 2015; 41(6): 9–16. doi: 10.3969/j.issn.0529-1542.2015.06.002. (in Chinese)
Xue H. Pesticide systemic and contact agents. Shandong Pesticide News, 2006; 32: 21–28. (in Chinese)
Zhu Y K. Low volume application of pesticides in cotton aphid control. Taian: Shandong Agricultural University, 2013. doi: 10.7666/ d.Y2303492. (in Chinese)
Rang Z W, Li S C, Liu J, Li J, Li Q. Effects of planting density and nitrogen application on microclimate and photosynthetic characteristics of tobacco plants in tobacco. Journal of Hunan Agricultural University (Natural Sciences), 2019; 45(3): 258–263. doi: 10.13331/j.cnki.jhau.2019. 03.007. (in Chinese)
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