Experimental study on trajectory monitoring of plant protection operation by manned helicopter
Abstract
Abstract: With the rapid development of China’s agricultural modernization, the efficiency of plant protection operations and the scientific use of pesticides and fertilizers have higher requirements. For crop pest control, agricultural aviation technology has been widely recognized. However, at this stage, manned helicopter aerial plant protection operation is affected by operating conditions, operating environment and pilot experience, which is not enough to ensure the uniformity and stability of the quality of plant protection operation. In order to solve this problem, this paper designs a set of manned helicopter trajectory monitoring system for plant protection operation. With the background of the 2022 summer UCPD agricultural aerial application operation in Jilin Province, a Bell 407 helicopter was used to carry the trajectory monitoring system, and real-time operation data were obtained and statistically analyzed. At the same time, a large number of field trials were conducted to assess the quality of helicopter plant protection operations. The experimental results show that the flight path monitoring system can accurately obtain the flight altitude, speed, operation trajectory, and application trajectory of the aircraft during vegetation operations. The average flight speed of agricultural aerial spraying and plant protection operations in Jilin Province in summer is 140-160 km/h, and the average application efficiency is 65-80 km2/h. The average flight altitude varies greatly with the operation location. The manned helicopter plant protection operation trajectory monitoring system designed in this article can provide reference for government regulatory departments and farmers to evaluate the quality of aviation plant protection operations, and has practical significance for rational pesticide spraying and promoting precision agriculture.
Keywords: agricultural aviation; plant protection; agricultural spraying; track monitoring
DOI: 10.33440/j.ijpaa.20230601.220
Citation: Che C T, Li H Z, Lan Y B, Kong L J, Wang D C, Xu H L and Zhu H. Experimental study on trajectory monitoring of plant protection operation by manned helicopter. Int J Precis Agric Aviat, 2023; 6(1): 61–68.
Full Text:
PDFReferences
Xu Z H, Li C. Current Development and Future Trends in Chinese Agriculture. Agricultural Science and Engineering in China, 2020, 32(06): 3–4. doi: 10.19518/j.cnki.cn11-2531/s.2020.0147.
Huang W J, Liu L Y, Dong Y Y, et al. Research progress of crop pest and disease monitoring based on remote sensing technology. Agricultural Engineering Technology, 2018, 38(09): 39–45. doi: 10.16815/ j.cnki.11-5436/s.2018.09.007.
Zhou Z Y, Zang Y, Luo X W, Lan Y B, Xue X Y. Development strategy of technological innovation in China's agricultural aviation plant protection industry. Agricultural Technology and Equipment, 2014(05): 19–25. doi: none.
Zhang D Y, Lan Y B, et al. Progress and Prospects of Agricultural Aerial Application Technology Research in China. Transactions of the Chinese Society for Agricultural Machinery, 2014, 45(10): 53–59. doi: 10.6041/j.issn.1000-1298.2014.10.009.
Liu Y Y, Ru Y, et al. Algorithm for planning full coverage route for helicopter aerial spray. Transactions of the Chinese Society of Agricultural Engineering, 2020, 36(17): 73–80. doi: 10.11975/ j.issn.1002-6819.2020.17.009.
Lan Y B. Current status and development trend of precision agriculture aviation technology in the United States. Agricultural Machinery Market, 2022, 408(05): 57–59. doi: none.
Lan Y B. Status and role of precision agriculture aviation in China. Agricultural Machinery Market, 2021(04): 23–24. doi: none.
Lan Y B. Current status and future outlook of precision agriculture aviation technology. Agricultural Engineering Technology, 2017, 37(30): 27–30. doi: 10.16815/j.cnki.11-5436/s.2017.30.003.
Ru Y, Xue J K, et al. Research status and trend of real?time monitoring system for aerial pesticide spray operation. Journal of Forestry Engineering, 2023, 8(03): 21–31. doi: 10.13360/j.issn.2096-1359. 202206020.
Li B, Zeng L S. GPS positioning information extraction and application. Electronic Design Engineering, 2012, 20(12): 72–74. doi: 10.14022/j.cnki.dzsjgc.2012.12.023.
Hu T. Development status and strategy of smart agriculture in Jilin Province. Special Economic Animals and Plants, 2022, 25(12): 188-190. doi: none.
Liao J, Zang Y, Zhou Z Y, Luo X W. Quality evaluation method and optimization of operating parameters in crop aerial spraying technology. Transactions of the Chinese Society of Agricultural Engineering, 2015, 31(S2): 38–46. doi: none.
Yao W X, Lan Y B, 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: none.
Lu J Q, Lin J H, et al. Classification model for citrus canopy spraying deposition based on multi-scale feature fusion. Transactions of the Chinese Society of Agricultural Engineering, 2020, 36(23): 70–76. doi: 10.11975/j.issn.1002-6819.2020.23.008.
Wang G B, Li X H, et al. Quality testing of spraying by two large helicopters in rice fields and observation of preventive effect against rice blast. China Plant Protection Journal, 2014, 34(S1): 6–11. doi: none.
Qin W C, Xue X Y, et al. Effects of spraying parameters of unmanned aerial vehicle on droplets deposition distribution of maize canopies. Transactions of the Chinese Society of Agricultural Engineering, 2014, 30(05): 50–56. doi: none.
Wang J, Lan Y B, et al. Effects of working height of single-rotor unmanned aerial vehicle on drift and droplets deposition distribution of areca tree. Transactions of the Chinese Society for Agricultural Machinery, 2019, 50(07): 109–119. doi: 10.6041/j.issn.1000-1298.2019. 07.011.
Wang J, Lan Y B, et al. Meteorological and flight altitude effects on deposition,penetration,and drift in pineapple aerial spraying. Asia-Pacific Journal of Chemical Engineering, 2020, 15(1): e2382. doi: 10.1002/ apj.2382.
Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.