Skip to main content
Log in

Optimization of the factors affecting droplet deposition in rice fields by rotary unmanned aerial vehicles (UAVs)

  • Published:
Precision Agriculture Aims and scope Submit manuscript

Abstract

Unmanned aerial vehicles (UAVs) are widely used in modern agricultural management for aviation spraying. Many factors affect the droplet deposition during quadrotor UAV application. To explore the importance of these influencing factors on the droplet deposition effect, this article classified all the factors and determined the core influencing factors. An orthogonal experiment was then designed to explore the importance of each core influencing factor on the droplet deposition effect. The importance of three factors on the droplet deposition volume decreased in the following order: flight parameter (F = 518.688), droplet size (F = 123.813) and crop phenotype (F = 83.688); likewise, the importance of these factors on the droplet deposition uniformity decreased in the following order: flight parameter (F = 31.868), crop phenotype (F = 15.442) and droplet size (F = 9.105). The droplet deposition volume and droplet uniformity should both be considered to determine the optimal application scheme. The results also showed that the overall droplet deposition distribution trend was similar at each sample point on each collection line. Plant deformation with a larger area or deeper depth helped the droplets deposit onto the crop canopy.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

Download references

Acknowledgements

This study is supported by National Natural Science Foundation of China (31771682), Science and Technology Planning Project of Guangdong Province (2018A050506073), and the 111 Project (D18019). Special thanks to the Guangdong Academy of Agricultural Sciences, to Mr. Yilong Zhan for helping with the field experiment.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jiyu Li.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Guo, S., Li, J., Yao, W. et al. Optimization of the factors affecting droplet deposition in rice fields by rotary unmanned aerial vehicles (UAVs). Precision Agric 22, 1918–1935 (2021). https://doi.org/10.1007/s11119-021-09818-7

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11119-021-09818-7

Keywords

Navigation