Effect of operational parameters of UAV sprayer on spray deposition pattern in target and off-target zones during outer field weed control application

Ahmad, Fiaz; Qiu, Baijing; Dong, Xiaopeng; Ma, Jing; Huang, Xin; Ahmed, Shibbir; Chandio, Farman Ali

doi:10.1016/j.compag.2020.105350

Cited by 83 publications

(56 citation statements)

References 28 publications

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“…The increase in flight height reduces the effect of airflow that projects the droplets toward the target, thereby altering their deposition on the plant canopy. Ahmad et al (2020) also observed that increasing the flight height and speed reduces the droplet deposition on the target. In tree crops, Meng et al (2020) studied the effects of speed (2.0 m s -1 to 5.0 m s -1 ) and flight path (intra-and inter-planting line) on the percentage of target coverage and observed that both factors were influenced by the shape of the plant canopy in a peach crop.…”

Section: Factors That Interfere With the Spray Deposition On The Targetmentioning

confidence: 87%

“…In general, applications have been performed between 1.0 m to 3.0 m of height and 1.0 m s -1 to 7.0 m s -1 of velocity, as can be observed in the works of Liao et al (2019), Wang et al (2020 c), Ahmad et al (2020), andChen et al (2020). Wang et al (2020 d) showed that it is critical to find a balance between height and speed to achieve a satisfactory application.…”

Section: Factors That Interfere With the Spray Deposition On The Targetmentioning

confidence: 99%

See 1 more Smart Citation

Use of Remotely Piloted Aircrafts for the Application of Plant Protection Products

et al. 2021

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Section: Factors That Interfere With the Spray Deposition On The Targetmentioning

confidence: 87%

Section: Factors That Interfere With the Spray Deposition On The Targetmentioning

confidence: 99%

Use of Remotely Piloted Aircrafts for the Application of Plant Protection Products

et al. 2021

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“…The absolute value of the difference between the experiment and simulation deposition percentages is plotted in Figure 7 . The droplet deposition curve is axisymmetric because the environment wind velocity is set to zero in the simulation, and the maximum deposition percentage is 13.1% at Z = 1 m. The outdoor experiment’s deposition curve slightly deviates to the positive Z−direction due to the effect of crosswind and non vertical nozzles [ 19 ]. The maximum simulation error occurrs at Z = −1.5 m, which is 8.7%, and the error of other areas is within 5%.…”

Section: Application and Verification Of Cfd Simulationmentioning

confidence: 99%

“…As shown in Figure 9 d, the deposition distribution at the margin slightly increases with the increase in height. This condition may be due to the trajectory change caused by the breakup of droplets [ 19 ].…”

Section: Simulation Deposition Data Acquisitionmentioning

confidence: 99%

Design of Variable Spray System for Plant Protection UAV Based on CFD Simulation and Regression Analysis

Wang

Liu

et al. 2021

Sensors

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Multi-rotor unmanned aerial vehicles (UAVs) for plant protection are widely used in China’s agricultural production. However, spray droplets often drift and distribute nonuniformly, thereby harming its utilization and the environment. A variable spray system is designed, discussed, and verified to solve this problem. The distribution characteristics of droplet deposition under different spray states (flight state, environment state, nozzle state) are obtained through computational fluid dynamics simulation. In the verification experiment, the wind velocity error of most sample points is less than 1 m/s, and the deposition ratio error is less than 10%, indicating that the simulation is reliable. A simulation data set is used to train support vector regression and back propagation neural network with multiple parameters. An optimal regression model with the root mean square error of 6.5% is selected. The UAV offset and nozzle flow of the variable spray system can be obtained in accordance with the current spray state by multi-sensor fusion and the predicted deposition distribution characteristics. The farmland experiment shows that the deposition volume error between the prediction and experiment is within 30%, thereby proving the effectiveness of the system. This article provides a reference for the improvement of UAV intelligent spray system.

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“…To implement the technology, an unmanned aerial system BAS-137 VIM was developed on the basis of an unmanned aerial vehicle (UAV) of a coaxial helicopter type BVS-137 VIM (takeoff weight 280 kg, payload 80 kg) and an unmanned aerial vehicle (UAV) based on a gyroplane (takeoff weight 750 kg, payload up to 400 kg) for differentiated application of pesticides, fertilizers and other agrochemicals in the precision farming system [5,6].…”

Section: Introductionmentioning

confidence: 99%

Regulation of pesticide and fertilizer rates with applied by unmanned aerial vehicle

2020

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The technology of application of pesticides, fertilizers and other agrochemicals by unmanned aerial vehicles (UAVs) in the precision farming system provides for differentiated treatment of agricultural fields with variable standards of pesticides and differentiated application of fertilizers. Existing UAVs do not provide differentiated fertilization of plants with fertilizers and differentiated treatment of plants with pesticides due to imperfect flow control systems and working fluid application rates. Substantiation of methods for regulating the flow rate and norms of working fluids of pesticides and fertilizers is based on the flow continuity equations, Bernoulli and the equation that determines the rate and dose of pesticides and fertilizers depending on the operational and technological parameters of the UAV. The paper shows that to differentiate the norms for applying the working fluid of pesticides and fertilizers, it is advisable to use methods for regulating the norms by changing the area of the outlet openings of sprayers and the step of their placement, while differentiating the norms can be carried out both by a combination of these methods and by including one or several standard sizes in the work of sprayers simultaneously.

show abstract

Effect of operational parameters of UAV sprayer on spray deposition pattern in target and off-target zones during outer field weed control application

Cited by 83 publications

References 28 publications

Use of Remotely Piloted Aircrafts for the Application of Plant Protection Products

Use of Remotely Piloted Aircrafts for the Application of Plant Protection Products

Design of Variable Spray System for Plant Protection UAV Based on CFD Simulation and Regression Analysis

Regulation of pesticide and fertilizer rates with applied by unmanned aerial vehicle

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