Pesticide Spray Characterisation using High Speed Imaging Techniques

Minov, Sofija Vulgarakis; Cointault, Frédéric; Vangeyte, Jürgen; Pieters, Jan; Nuyttens, David

doi:10.1016/j.aaspro.2015.12.048

Cited by 6 publications

(4 citation statements)

References 10 publications

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“…High-speed videos were taken of atomization sprays, from which characteristic metrics were defined and explored [14,15]. Physical and empirical metrics were defined, and algorithms were written (Matlab v. 2019a or C++) such that the video images could be distinguished from each other based on the differences in image analysis (IA) metrics.…”

Section: Methodsmentioning

confidence: 99%

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Interpreting Image Patterns for Agricultural Sprays Using Statistics and Machine Learning Techniques

Cryer,

Raymond

2024

Fluids

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The atomization of liquid spray solutions through nozzles is a mechanism for delivering many pesticides to the target. The smallest drop sizes (<150 μm) are known as driftable fines and have a propensity for wind-induced convection. Many agricultural applications include oil-in-water formulations. The experimental metrics obtained from spray images of these formulations include the distance from the nozzle origin to the drop centroid once a drop has formed; the hole location and surface area for holes that form in the liquid sheet (all hole areas approximated as polygons); the angles formed between polygon segments (whose vertices are represented as boundary points); and the ligament dimensions that form from intersecting holes, such as the ligament aspect ratio (R/L), ligament length (L), and ligament radius (width), along with the number of drops a ligament breaks up into. These metrics were used in a principal component regression (PCR) analysis, and the results illustrated that 99% of the variability in the response variable (DT10) was addressed by 10 principal components. Angles formed by the colliding holes, hole distance from the nozzle, drop distance, hole number, ligament number, and drop number were negatively correlated to the atomization driftable fine fraction, while hole area, ligament distance, ligament area, and boundary area were positively correlated. Thus, to decrease/minimize driftable fines, one needs to increase the negatively correlated metrics.

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Section: Methodsmentioning

confidence: 99%

“…High-speed imaging of the spray trajectory is one technique that has been used to study spray phenomena [14][15][16][17]. Typically, these efforts have attempted to serve as a proxy technology for establishing the droplet size distribution.…”

Section: Introductionmentioning

confidence: 99%

Interpreting Image Patterns for Agricultural Sprays Using Statistics and Machine Learning Techniques

Cryer,

Raymond

2024

Fluids

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“…In the study performed by Minov et al (2014), the researchers determined the distribution uniformity of five different hydraulic nozzles (Albuz ATR orange and red, Teejet XR 11001, XR 11004, and Al 11004) with different operating characteristics using a patternator with 3 cm intervals and a slope of 5%. In that study, the spraying heights for different groups were set as 15 cm, 30 cm, and 50 cm, and the spray applications were carried out at 4, 6, and 8 bar pressure.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Spray Characteristics of Full Cone Nozzles Used in Pesticide Application Using the Taguchi Method

Karabey,

Tanış

2024

Karadeniz Fen Bilimleri Dergisi

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The present study aims to reduce the amount of pesticide that can be released into environment, soil, air, and water by minimizing the type of nozzle and the use of excess pesticides by making use of the Taguchi method. For this purpose, studies were carried out to determine the spray characteristics of the pesticide. The sodium fluorescein was used in the experiments. In this study, the effects of the nozzle-to-surface distance (spray height), spray pressure, nozzle orifice diameter, and nozzle position angle on the droplet diameter and flow characteristics were investigated using the Taguchi method. The mean diameter values were determined first. Then, the volumetric median diameter (VMD) was considered as performance parameter and L9(34) orthogonal sequence was chosen as the experimental plan for four parameters that were determined. Calculating the VMD considered as the performance characteristics, optimum results were obtained using 6 bar spray pressure, 100 mm spray height, 30o nozzle position angle, and 1.10 mm nozzle orifice diameter. The VMD values were calculated using the image processing method and the effects of the parameters on the droplet diameter were interpreted using charts.

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“…As the flow rate increases then it increases the spray coverage area. To measure the spray droplet characteristics various imaging analyzer and non-imaging techniques such as laser diffraction analyzers, phase doppler particle analyzers(Nuyttens et al, 2009), and optical array probes(Teske et al, 2002) have been specified inRhodes (2008) Minov et al (2015). used image processing and image acquisition system with backlight for background illumination to measure the size of droplets for various hydraulic spray nozzles.…”

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confidence: 99%

Pesticide spraying robot for precision agriculture: A categorical literature review and future trends

Meshram¹,

Vanalkar²,

Kalambe³

et al. 2021

Journal of Field Robotics

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Pesticide spraying is one of the risky and very essential task in agriculture to protect plants from harmful organisms. Many farmers are used manual pesticide spraying devices that they carry these devices on their shoulders and spray on the entire plant. Due to this, harmful pesticide chemicals spread into the air and may enter into the body of farmers and farm workers through the breathing system and mostly affect their body parts even, so many farmers lost their life. For this serious problem, we present the best solution to perform this task without the intervention of man is to utilize a robotic system in an agriculture. This paper analyses the state-of-the-art reviews in the development of autonomous pesticide spraying robots that are divided into four main categories; platform mobility and steering, localization and navigation control, sensing and target detection, and pesticide spraying arrangement. This paper also focused on the efficient methodology that can be used for future perspectives to enhance pesticide spraying operations in an agriculture. In this paper, to achieve target spraying operation, a suitable navigation control algorithm for platform movement and an efficient trajectory planning algorithm for shortest link movement are designed which covers the shortest distance to visit all targeted pests on the plant. This technique will help to reduce the overdose of toxic pesticides hence minimize the wastage of pesticides and also control its dangerous effects on the human being and on the environment.

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Pesticide Spray Characterisation using High Speed Imaging Techniques

Cited by 6 publications

References 10 publications

Interpreting Image Patterns for Agricultural Sprays Using Statistics and Machine Learning Techniques

Interpreting Image Patterns for Agricultural Sprays Using Statistics and Machine Learning Techniques

Optimization of Spray Characteristics of Full Cone Nozzles Used in Pesticide Application Using the Taguchi Method

Pesticide spraying robot for precision agriculture: A categorical literature review and future trends

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