Assessment of spray drift potential reduction for hollow-cone nozzles: Part 2. LiDAR technique

Gregorio, Eduard; Torrent, Xavier; Planas, S.; Rosell-Polo, Joan R.

doi:10.1016/j.scitotenv.2019.06.151

Cited by 22 publications

(16 citation statements)

References 37 publications

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“…The aim of the research conducted by Gregorio et al was to evaluate the drift reduction potential for hollow cone nozzles using light detection and ranging (LiDAR) technology. Based on the analysis of the results of this work, it was concluded that the LiDAR technique is an advantageous alternative in the evaluation of spray drift potential reduction [23,24].…”

Section: Introductionmentioning

confidence: 96%

Average Degree of Coverage and Coverage Unevenness Coefficient as Parameters for Spraying Quality Assessment

Cieniawska

Pentoś

2021

Agriculture

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The purpose of the research was to determine the influence of selected factors on the average degree of coverage and uniformity of liquid spray coverage using selected single and dual flat fan nozzles. The impact of nozzle type, spray pressure, driving speed, and spray angle on the average degree of coverage and coverage unevenness coefficient were studied. The research was conducted with special spray track machinery designed and constructed to control and change the boom height, spray angle, driving speed, and spray pressure. Based on the research results, it was found that the highest average coverage was obtained for single standard flat fan nozzles and dual anti-drift flat fan nozzles. At the same time, the highest values of unevenness were observed for these nozzles. Inverse relationships were obtained for air-induction nozzles. Maximization of coverage with simultaneous minimization of unevenness can be achieved by using a medium droplet size for single flat fan nozzles (volume median diameter (VMD) = 300 μm) and coarse droplet size for dual flat fan nozzles (VMD = 352 μm), with low driving speed (respectively 1.1 m∙s−1 and 1.6 m∙s−1) and angling of the nozzle by 20° in the opposite direction to the direction of travel.

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Section: Introductionmentioning

confidence: 96%

Average Degree of Coverage and Coverage Unevenness Coefficient as Parameters for Spraying Quality Assessment

Cieniawska

Pentoś

2021

Agriculture

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“…On the contrary, the small droplets have excellent adhesion, coverage density and uniformity on the crop surface. However, they are prone to drift, which causes environmental pollution as well as damage to other crops nearby [10][11][12][13]. According to the theory of Biological Optimum Droplet Size (BODS), the range of droplet size captured by different biological targets is different.…”

Section: Introductionmentioning

confidence: 99%

Quantitative Analysis of Droplet Size Distribution in Plant Protection Spray Based on Machine Learning Method

et al. 2022

Water

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Spray droplet size is the main factor affecting the deposition uniformity on a target crop. Studying the influence of multiple factors on the droplet size distribution as well as the evaluation method is of great significance for improving the utilization of pesticides. In this paper, volume median diameter (VMD) and relative span (RS) were selected to evaluate the droplet size distribution under different hollow cone nozzles, flow rates and spatial positions, and the quantitative models of VMD and RS were established based on machine learning methods. The results showed that support vector regression (SVR) had excellent results for VMD (Rc = 0.9974, Rp = 0.9929), while multi-layer perceptron (MLP) had the best effect for RS (Rc = 0.9504, Rp = 0.9537). The correlation coefficient of the prediction set is higher than 0.95, showing the excellent ability of machine learning on predicting the droplet size distribution. In addition, the visualization images of the droplet size distribution were obtained based on the optimal models, which provided intuitive guidance for realizing the uniform distribution of pesticide deposition. In conclusion, this study provides a novel and feasible method for quantitative evaluation of droplet size distribution and offers a theoretical basis for further determining appropriate operation parameters according to the optimal droplet size.

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“…During recent years several devices, such as air conveying devices and anti-drift nozzles were proposed and tested [9], [11], together with electronic sensors to adjust the spray to the crop [10], [14, [13]. In this view, recycling sprayers appear to be very promising [21], [17], because they can recover part of the active ingredient thus reducing the real applied dose.…”

Section: Introductionmentioning

confidence: 99%

Toward New Ideas on the Control of Pesticide Application: A Low-cost Tunnel Sprayer for Vineyards

Santos¹,

Moreira²,

Lino³

et al. 2019

International Journal of New Technology and Research

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A prototype of recycling sprayer was tested in a vineyard with the aim to analyze the distribution of spray in the canopy leaves and the general spraying efficiency. The sprayer was developed at the Instituto Agronômico (IAC) at the Centro de Engenharia Agrícola, located in Jundiaí (São Paulo State, Brasil). The experiment was carried out from 2017 to 2109. The nozzles were fitted inside air spouts placed along vertical air ducts, located so that two converging air jets reached the canopy in two different opposite positions. Two vertical panels (1,20m x 1,90m) were installed on the same folding arms on which the air ducts are placed. The machine was enabled to perform electrostatic spraying. Excess liquid collected on the bottom of the panels were sucked back into the tank by a micro hydraulic pump. The prototype was submitted to field tests to verify the leaf spray coverage and the capability of the machine to save active ingredient during the spray. Leaf image analysis was used to study leaf spray coverage in field tests. The recycling device confirmed its efficiency with a saving of about 50% of active ingredients at the end of the treatments, and the use of electrostatic spray was beneficial for the leaf coverage uniformity, for spraying under high liquid pressure.

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Assessment of spray drift potential reduction for hollow-cone nozzles: Part 2. LiDAR technique

Cited by 22 publications

References 37 publications

Average Degree of Coverage and Coverage Unevenness Coefficient as Parameters for Spraying Quality Assessment

Average Degree of Coverage and Coverage Unevenness Coefficient as Parameters for Spraying Quality Assessment

Quantitative Analysis of Droplet Size Distribution in Plant Protection Spray Based on Machine Learning Method

Toward New Ideas on the Control of Pesticide Application: A Low-cost Tunnel Sprayer for Vineyards

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