Effects of operation height and tree shape on droplet deposition in citrus trees using an unmanned aerial vehicle

被引:95
作者
Tang, Y. [1 ]
Hou, C. J. [1 ]
Luo, S. M. [1 ]
Lin, J. T. [1 ]
Yang, Z. [2 ]
Huang, W. F. [1 ]
机构
[1] Zhongkai Univ Agr & Engn, Coll Automat, Guangzhou 510225, Guangdong, Peoples R China
[2] South China Agr Univ, Coll Engn, Guangzhou 510642, Guangdong, Peoples R China
关键词
Unmanned aerial vehicle; Citrus; Droplet deposition; Tree shape; Aerial spraying; DRIFT; UAV;
D O I
10.1016/j.compag.2018.02.026
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
The effects of operation height and tree shape on droplet deposition in citrus trees using an unmanned aerial vehicle (UAV) were investigated in this study. When the operation height was 1.2 m and the flight speed was 3.5 m s(-1), the droplet density and droplet coverage rate were maximized in all the canopies. The droplets exhibited the most uniform distribution (CV = 32.44%) in the lower layer of inverted triangle-shaped trees. The droplet density in the lower layer of inverted triangle-shaped trees was 48.04% higher than that in triangle shaped trees. There was no statistically significant difference between the middle and lower layers of inverted triangle-shaped trees. The uniformity of the droplet deposition distribution was studied in six parts of the citrus trees at an operation height of 1.2 m. The results indicated that the front, middle, rear, left and centre parts displayed uniform distributions, but the right part of the inverted triangle -shaped trees did not. This difference might have been caused by a deviated flight route due to manual control error or by droplet drift from the wind originating from the right.
引用
收藏
页码:1 / 7
页数:7
相关论文
共 50 条
  • [31] Hindcasting tree heights in tropical forests using time-series unmanned aerial vehicle imagery
    Chung, Chih-Hsin
    Huang, Cho-ying
    AGRICULTURAL AND FOREST METEOROLOGY, 2020, 290
  • [32] Characterization of peach tree crown by using high-resolution images from an unmanned aerial vehicle
    Mu, Yue
    Fujii, Yuichiro
    Takata, Daisuke
    Zheng, Bangyou
    Noshita, Koji
    Honda, Kiyoshi
    Ninomiya, Seishi
    Guo, Wei
    HORTICULTURE RESEARCH, 2018, 5
  • [33] Tree-Stump Detection, Segmentation, Classification, and Measurement Using Unmanned Aerial Vehicle (UAV) Imagery
    Puliti, Stefano
    Talbot, Bruce
    Astrup, Rasmus
    FORESTS, 2018, 9 (03):
  • [34] Tree Species Identification Based on FCN Using the Visible Images Obtained from an Unmanned Aerial Vehicle
    Dai Pengqin
    Ding Lixia
    Liu Lijuan
    Dong Luofan
    Huang Yiting
    LASER & OPTOELECTRONICS PROGRESS, 2020, 57 (10)
  • [35] HEIGHT MEASUREMENT AND OIL PALM YIELD PREDICTION USING UNMANNED AERIAL VEHICLE (UAV) DATA TO CREATE CANOPY HEIGHT MODEL (CHM)
    Kulpanich, Nayot
    Worachairungreung, Morakot
    Waiyasusri, Katawut
    Sae-Ngow, Pornperm
    Pinasu, Dusadee
    GEOGRAPHIA TECHNICA, 2022, 17 (02): : 164 - 178
  • [36] Modeling Biometric Attributes from Tree Height Using Unmanned Aerial Vehicles (UAV) in Natural Forest Stands
    Quinonez-Barrazal, Geronimo
    Pompa-Garcia, Marin
    Vivar-Vivar, Eduardo D.
    Gallardo-Salazar, Jose L.
    Hernandez, Francisco J.
    Rodriguez-Flores, Felipa De J.
    Solis-Moreno, Raul
    Bretado-Velazquez, Javier L.
    Valdez-Cepeda, Ricardo D.
    Hernandez-Diaz, Jose C.
    INGENIERIA E INVESTIGACION, 2023, 43 (02):
  • [37] Maize height estimation using combined unmanned aerial vehicle oblique photography and LIDAR canopy dynamic characteristics
    Liu, Tao
    Zhu, Shaolong
    Yang, Tianle
    Zhang, Weijun
    Xu, Yang
    Zhou, Kai
    Wu, Wei
    Zhao, Yuanyuan
    Yao, Zhaosheng
    Yang, Guanshuo
    Wang, Ying
    Sun, Chengming
    Sun, Jianjun
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2024, 218
  • [38] The Effects of Rewards on Autonomous Unmanned Aerial Vehicle (UAV) Operations Using Reinforcement Learning
    Virani, Hemali
    Liu, Dahai
    Vincenzi, Dennis
    UNMANNED SYSTEMS, 2021, 9 (04) : 349 - 360
  • [39] Study of the effects of trapped compression ratio on the heavy fuel operation of a spark ignition unmanned aerial vehicle engine
    Hooper, Peter
    AIRCRAFT ENGINEERING AND AEROSPACE TECHNOLOGY, 2023, 95 (04) : 580 - 593
  • [40] Development of Unmanned Aerial Vehicle Remote Sensing Technology for Abiotic Stress Monitoring of Citrus 'Unshiu' using Multispectral Imaging
    Bae, Ji Hoon
    Bae, Hyung Jin
    Kim, Geonwoo
    Park, Eunsoo
    Cho, Byoung-Kwan
    JOURNAL OF THE KOREAN SOCIETY FOR NONDESTRUCTIVE TESTING, 2020, 40 (04) : 274 - 284