ADDI-Spraydrift: A comprehensive model of pesticide spray drift with an assessment in vineyards

Djouhri, Meriem; Loubet, Benjamin; Bedos, Carole; Dagès, Cécile; Douzals, Jean‐Paul; Voltz, Marc

doi:10.1016/j.biosystemseng.2023.05.008

Cited by 3 publications

(3 citation statements)

References 55 publications

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“…The arms, of length l = 0.567 m, have an inclination, γ of around 7 degrees. This slightly complicates the rectangular matrix shown in Equation (5). The new formulation of this matrix, M, is…”

Section: Hexacopter Dynamics and Controlmentioning

confidence: 99%

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Toward Virtual Testing of Unmanned Aerial Spraying Systems Operating in Vineyards

Carreño Ruiz,

Bloise,

Guglieri

et al. 2024

Drones

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In recent times, the objective of reducing the environmental impact of the agricultural industry has led to the mechanization of the sector. One of the consequences of this is the everyday increasing use of Unmanned Aerial Systems (UAS) for different tasks in agriculture, such as spraying operations, mapping, or diagnostics, among others. Aerial spraying presents an inherent problem associated with the drift of small droplets caused by their entrainment in vortical structures such as tip vortices produced at the tip of rotors and wings. This problem is aggravated by other dynamic physical phenomena associated with the actual spray operation, such as liquid sloshing in the tank, GPS inaccuracies, wind gusts, and autopilot corrections, among others. This work focuses on analyzing the impact of nozzle position and liquid sloshing on droplet deposition through numerical modeling. To achieve this, the paper presents a novel six degrees of freedom numerical model of a DJI Matrice 600 equipped with a spray system. The spray is modeled using Lagrangian particles and the liquid sloshing is modeled with an interface-capturing method known as Volume of Fluid (VOF) approach. The model is tested in a spraying operation at a constant velocity of 2 m/s in a virtual vineyard. The maneuver is achieved using a PID controller that drives the angular rates of the rotors. This spraying mission simulator was used to obtain insights into optimal nozzle selection and positioning by quantifying the amount of droplet deposition.

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Section: Hexacopter Dynamics and Controlmentioning

confidence: 99%

“…Many researchers have looked into the factors that affect this phenomenon and its modeling, analyzing the type of nozzle, injection pressure, and wind speed for ground and aerial operations. [1][2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Toward Virtual Testing of Unmanned Aerial Spraying Systems Operating in Vineyards

Carreño Ruiz,

Bloise,

Guglieri

et al. 2024

Drones

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show abstract

“…Many researchers have studied technological processes and working bodies for chemical plant protection. M. Hulin et al (2021), M. Djouhri et al (2023) investigated models of the drift of sprayed pesticides, the processes of scattering, evaporation of droplets, their deposition to the ground and interception by air flow, and atmospheric stability and turbulence modes. The researchers considered drift patterns of sprayed pesticides by analysing the processes of scattering, evaporation of droplets, precipitation to the ground, and interception by air flow.…”

Section: Introductionmentioning

confidence: 99%

Experimental study of the time of pressure rise and fall in the sprayer pipe

Onyshchenko,

Nazarenko

et al. 2024

Tehnìka ta energetika

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A wide variety of meteorological factors, soil and climatic conditions, the saturation of fields with many types of weeds, a significant set of cultivated plants and many other factors necessitate the implementation of innovative technological schemes for the use of pesticides, which will reduce the pesticide load as much as possible and determine the safe environmental effect of preparations. Experimental studies were carried out to determine the time of pressure rise and fall in the sprayer pipe and to establish the corresponding functional dependencies. The automatic adjustment system of the application rate was set to change the pressure when the green simulation surface hit 0.5 MPa, and the yellow surface hit 0.2 MPa. Sensor impact on a surface of different colours was simulated. At the same time, the pressure in the system changed. The pressure in the sprayer pipe of trailer sprayer OP-2000-2 was measured using a WIKAI EN837-1 pressure gauge and the readings were recorded with a Panasonic NV-GS75 digital video camera mounted on a Continent TRIPOD A2 stand. As a result of calculating the experimental data, it was found that the arithmetic mean of pressure reduction from 0.5 to 0.2 MPa is 1.94 s. And the arithmetic mean for four experiments, a pressure reduction of 0.05 MPa is 0.32 s. When calculating the experimental data of the pressure rise, it was found that the arithmetic mean of the pressure rise from 0.2 to 0.5 MPa is 2.37 s. And the average value for four experiments, the pressure rise by 0.05 MPa is 0.395 s. After approximation of experimental data obtained during single-factor experiments, when the pressure P and the corresponding time values t change, the corresponding polynomial functions describing the characteristic t=f(P) when operating a sprayer with automatic application rate control were obtained. The results obtained would allow calculating the time of delay or advance opening of the spray torch when working with variable standards for target plans, in order to avoid non-compliance with the application rate with the specified values

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Determination of Spray Drift Characteristics of a Ronnie Baugh Tractor-Trailed Boom Sprayer Using Computational Fluid Dynamics

Laguardia,

Fajardo,

Zubia

et al. 2023

Eng. Agríc.

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Spray drift leads to wastage of spraying material and poses a threat to non-targeted crops and the environment. Therefore, the spray drift characteristics of a Ronnie Baugh (RB) tractor-trailed boom sprayer were determined through computational fluid dynamics to assist in designing the tractor for boom spraying with minimized spray drift. The wake region of the RB tractor was characterized by investigating its velocity profile, turbulent kinetic energy, and drag coefficient at different forward speeds. Additionally, spray droplet sizes and drift distances from the boom sprayer were measured at forward speeds of 4, 6, and 8 km/h, along with different wind directions. The RB tractor exhibits an estimated drag coefficient of 0.7. The results further demonstrate that, at varying forward speeds, the wake experiences low turbulent kinetic energy and minimal velocity profile variations. No spray drift was observed at tractor speeds below 4 km/h, whereas a drift of 0.19 m and 0.33 m is predicted at 6 km/h and 8 km/h, respectively. The tractor's wake is significantly influenced by changes in wind direction, resulting in varying drift distances from each nozzle due to exposure to both free and obstructed airflow. To minimize drift at higher travel speeds, it is recommended that the tractor be operated in line with the prevailing wind direction.

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ADDI-Spraydrift: A comprehensive model of pesticide spray drift with an assessment in vineyards

Cited by 3 publications

References 55 publications

Toward Virtual Testing of Unmanned Aerial Spraying Systems Operating in Vineyards

Toward Virtual Testing of Unmanned Aerial Spraying Systems Operating in Vineyards

Experimental study of the time of pressure rise and fall in the sprayer pipe

Determination of Spray Drift Characteristics of a Ronnie Baugh Tractor-Trailed Boom Sprayer Using Computational Fluid Dynamics

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