Literature DB >> 35306733

Spray performance evaluation of a six-rotor unmanned aerial vehicle sprayer for pesticide application using an orchard operation mode in apple orchards.

Changling Wang1,2,3, Yang Liu1, Zhenhua Zhang1,2, Leng Han1,2,3, Yangfan Li1,2,3, Hao Zhang1,2,3, Supakorn Wongsuk1,2,3, Yuanyuan Li4, Xuemin Wu1, Xiongkui He1,2,3.   

Abstract

BACKGROUND: In the last decade, unmanned aerial vehicle (UAV) sprayers have been growing rapidly worldwide as a new method for pesticide application, especially in Asian countries. More and more manufacturers and service providers are currently aiming at UAV spraying operation for fruit trees with higher economic value. We evaluated the spray performance of an electric six-rotor UAV sprayer using an orchard operation mode (different application volumes and flight patterns) in a hilly apple orchard with small and sparse trees (SS) and a plain orchard with tall-spindle trees (TS).
RESULTS: Application volume (APV) had a significant influence on the spray coverage parameters in both orchards, while flight pattern, intra-row, inter-row and verti-row, had a relatively limited influence at 60 0 and 85 7 L/ha. The UAV's downwash airflow produced a good spray penetration in the isolated SS trees, but not for the conjoined TS trees. It is better to fly along and above rows at 63.5 L/ha or higher for SS trees. The excessively low underside coverage is the main drawback of UAV orchard pesticide application and the underside droplet size was generally less than 200 μm.
CONCLUSION: Spray performance is closely related to tree shape, planting pattern, UAV payload, application volume, spray droplet size and downwash airflow field. The results provide data support for the best operational practice development and the decision model for the application volume of UAV sprayer orchard operations. The underside spray performance requires further improvement by several effective measures.
© 2022 Society of Chemical Industry. © 2022 Society of Chemical Industry.

Entities:  

Keywords:  UAV sprayer; application volume; deposit density; flight pattern; orchard pesticide application; spray coverage

Mesh:

Substances:

Year:  2022        PMID: 35306733     DOI: 10.1002/ps.6875

Source DB:  PubMed          Journal:  Pest Manag Sci        ISSN: 1526-498X            Impact factor:   4.845


  4 in total

Review 1.  Characteristics of unmanned aerial spraying systems and related spray drift: A review.

Authors:  Pengchao Chen; Jean Paul Douzals; Yubin Lan; Eric Cotteux; Xavier Delpuech; Guilhem Pouxviel; Yilong Zhan
Journal:  Front Plant Sci       Date:  2022-08-08       Impact factor: 6.627

2.  Design and development of orchard autonomous navigation spray system.

Authors:  Shubo Wang; Jianli Song; Peng Qi; Changjian Yuan; Hecheng Wu; Lanting Zhang; Weihong Liu; Yajia Liu; Xiongkui He
Journal:  Front Plant Sci       Date:  2022-08-01       Impact factor: 6.627

3.  Comprehensive assessment of intelligent unmanned vehicle techniques in pesticide application: A case study in pear orchard.

Authors:  Yulin Jiang; Xiongkui He; Jianli Song; Yajia Liu; Changling Wang; Tian Li; Peng Qi; Congwei Yu; Fu Chen
Journal:  Front Plant Sci       Date:  2022-08-23       Impact factor: 6.627

4.  Effect of flight velocity on droplet deposition and drift of combined pesticides sprayed using an unmanned aerial vehicle sprayer in a peach orchard.

Authors:  Longlong Li; Zhihong Hu; Qingju Liu; Tongchuan Yi; Ping Han; Ruirui Zhang; Ligang Pan
Journal:  Front Plant Sci       Date:  2022-09-29       Impact factor: 6.627

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.