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2022 | OriginalPaper | Chapter

Research on Pesticide Fog Droplet Drift Detection Applied in UAV

Authors : Jiaping Chen, Yanwei Wang, Tizhi Cao

Published in: Communications, Signal Processing, and Systems

Publisher: Springer Nature Singapore

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Abstract

With the development of precision and efficiency, UAV is greatly developed in the field of plant protection to saving water and protecting, and is widely used in the future. However, drug liquid losing and farmland environmental pollution are existing in the plant protection UAV spraying operation. Drug mist drops drifting, working in complex field operation environment, is vulnerable affected by temperature, humidity, UAV equipment, and natural wind. Thus it lead to utilization reducing, economic losing and health problems. The characteristics, influencing factors, detection methods and detection technology are discussed in this paper. Recently results shows that the influence of fog droplets should be consider in plant protection UAV, and the new fog droplet drift detection technology is needed to provide guarantee, improving the efficiency of quality assurance operation efficiency, saving agricultural resources and protecting the crop growth environment.

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previous chapter Analysis and Simulation of Potato Combine Harvesting Machine
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Literature
1.
Liu, C., Zhao, L.: Current situation and development suggestions of plant protection UAV in China. Agric. Eng. Technol. 38(12): 39–42 (2018)
2.
Guo, Z.: Implement the regulations on crop disease and disease control to effectively protect food production safety. Hubei Plant Protection. 5:3 (2020)
3.
Zeng, A.: Technical studies on reducing pesticide fog droplet drift, China Agricultural University (2005)
4.
Chen, B., et al.: Analysis of the influencing factors of fog droplet motion. Agric. Technol. 34(05): 190–191 (2014)
5.
Smith, D.B., Bode, L.E., Gerard, P.D.: Predicting ground boom spray drift. ASAE, 43(3): 547–553 (2000)
6.
Wang, X.: Study on pesticide fog droplet drift and drift reduction method, China Agricultural University, (2017)
7.
Landers, A., Muise, B.: The development of an automatic precision canopy sprayer for fruit crops. Asp. Appl. Biol. 99(1), 29–39 (2010)
8.
Fritz, B.K., Hoffmann, W.C., Lan, Y.B.: Evaluation of the EPAdrift reduction technology (DRT) low - speed wind tunnelprotocol. J. ASTM Int. 6(4):12 (2009)
9.
Teske, M.E., Bowers, J.F., Rafferty, J.E., et al.: FSCBG: An aerial spray dispersion model for predicting the fate of re-leased material behind aircraft. Environ. Toxicol. Chem. 12(3), 453–464 (1993)
10.
Zhou, H., Bingnan, Y., Helong, Y., et al.: Application status and development prospect of high-efficiency plant protection machinery in China. Agric. Eng. 4(6): 4–6 (2014)
11.
Li, L., Liu, Y., He, X., et al.: Assessment of spray deposition and losses in the apple orchard from agricultural unmanned aerial vehicle in China. In: ASABE Annual International Meeting, Detroit, USA, Paper Number:1800504 (2018)
12.
Brown, C.R., Giles, D.K.: American society of agricultural and biological engineers. Measurement of pesticide drift from unmanned aerial vehicle application to a vineyard. Trans. ASABE 61(5): 1539–1546 (2018)
13.
Martinez-Guanter, J., Agüera, J., Agüera, P., et al.: Spray and economics assessment of a UAV-based ultra-low-volume application in olive and citrus orchards[J]. Precis. Agric. 21(1), 226–243 (2020)
14.
Zhu, Y., Chen, X.: On the current situation and development opportunities of plant protection machinery in China.Agric. Dev. Equip. 10: 9–11 (2007)
15.
Martin, D.E., Carlton, J.B.: Airspeed and orifice size affectspray droplet spectrum from an aerial electrostatic nozzle forfixed-wing applications. Atom. Sprays 22(12), 997–1010 (2013)
16.
Haiba, F., Sun, H., Qi, L., Li, R., Zhang, W., Zhang, P.: Effect of wind field spraying of multi-rotor plant protection UAV on effective spray amplitude. Res. Agric. Mech. 43(08), 164–170 (2021)
17.
He, X., et al.: Fog droplet drift test method and test of plant protection UAV based on simulated orchard test bench. Agric. Eng. J. 36(13), 56–66 (2020)
18.
He, X., Songchao, Z., Zeng, A.: Test and evaluation of drift characteristics of typical hydraulic nozzle in wind tunnel environment. J. Agric. Eng. 15:78–81 (2005)
19.
Oerke, E.-C.: Crop losses to pests. J. Agric. Sci. 144(1): 31–43 (2006)
Metadata
Title
Research on Pesticide Fog Droplet Drift Detection Applied in UAV
Authors
Jiaping Chen
Yanwei Wang
Tizhi Cao
Copyright Year
2022
Publisher
Springer Nature Singapore
Book
Communications, Signal Processing, and Systems

Print ISBN: 978-981-19-0385-4

Electronic ISBN: 978-981-19-0386-1

Copyright Year: 2022

DOI
https://doi.org/10.1007/978-981-19-0386-1_71