Near ground platform development to simulate UAV aerial spraying and its spraying test under different conditions

Abstract Aerial spraying using UAV has gained great interest worldwide. UAV spraying can overcome crop height limits and is unlikely to crust soil or damage crop plants. More experiments concerning spraying are needed, such as spraying method tests, spraying droplet analysis, variable rating spraying tests, etc. These experiments either take a long time for real flights or have an unrecognized danger to UAV in real flights. To address this problem, an indoor spraying platform, which consists of X-Y direction movement and wind field generation was developed to simulate UAV aerial spraying. The maximum moving speed in the horizontal direction was 3.5 m/s and 0.25 m/s in the vertical direction. The horizontal moving distance was 11 m and the vertical moving distance was 0.5 m. The platform consists of 4 parts: upper machine software, central controller, X-Y moving part and far end spraying structure. CAN bus was used for communication between the central control board and far end controller. An experiment was carried out to test how the platform performs with different moving speeds and different wind strength. The wind strength test shows that wind forces the deposit down to the ground when droplets were equally affected by 2 wind forces. The result shows that the platform can meet the requirement of UAV aerial spraying.

[1]  J. R. Tsay,et al.  Evaluation of an air-assisted boom spraying system under a no-canopy condition using CFD simulation , 2004 .

[3]  R. C. Derksen,et al.  Visual and Image System Measurement of Spray Deposits Using Water-Sensitive Paper , 2003 .

[4]  Milton E. Teske,et al.  Initial laboratory measurements of the evaporation rate of droplets inside a spray cloud , 2016 .

[5]  Deng Lie,et al.  Effects of citrus tree-shape and spraying height of small unmanned aerial vehicle on droplet distribution , 2016 .

[6]  Brane Širok,et al.  Close-range air-assisted precision spot-spraying for robotic applications: Aerodynamics and spray coverage analysis , 2016 .

[7]  Yong He,et al.  Development of a Near Ground Remote Sensing System , 2016, Sensors.

[8]  Bradley K. Fritz,et al.  Evaluation of aerial spray technologies for adult mosquito control applications , 2013 .

[9]  Yubin Lan,et al.  Development of a PWM precision spraying controller for unmanned aerial vehicles , 2010 .

[10]  Mário Cunha,et al.  Assessing the ability of image processing software to analyse spray quality on water-sensitive papers used as artificial targets , 2012 .

[11]  K. A. Huntington,et al.  The use of a water sensitive dye for the detection and assessment of small spray droplets , 1970 .

[12]  Carlos Gilberto Raetano,et al.  Interference of spray volume, fruit growth and rainfall on spray deposits in citrus black spot control periods , 2016 .

[13]  G. Kruger,et al.  Effects of Nozzle Selection and Ground Speed on Efficacy of Liberty and Engenia Applications and Their Implication on Commercial Field Applications , 2016, Weed Technology.

[14]  Masoud Salyani,et al.  A portable scanning system for evaluation of spray deposit distribution , 2011 .

[15]  Chun Chang,et al.  Develop an unmanned aerial vehicle based automatic aerial spraying system , 2016, Comput. Electron. Agric..