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

Zhang, Yanchao; Li, Yijian; He, Yinghui; Liu, Fei; Cen, Haiyan; Fang, Hui

doi:10.1016/j.compag.2017.08.004

Cited by 33 publications

(19 citation statements)

References 12 publications

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“…A UAV simulation platform equipped with spraying system was used for the spray test ( Figure 1) [21] . Compared with the uncontrollable farmland environment, the advantages of UAV simulation platform lie in the stability of test environment, controllability of test variables and multiple choices of equipped device and spray objects.…”

Section: Experimental Platform and Devicesmentioning

confidence: 99%

Influence of UAV flight speed on droplet deposition characteristics with the application of infrared thermal imaging

Lv¹,

Xiao²,

Tao³

et al. 2019

International Journal of Agricultural and Biological Engineering

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A plant protection unmanned aerial vehicle (UAV) applied for spraying pesticide has the advantages of low cost, high efficiency and environmental protection. However, the complex and changeable farmland environment is not conductive to perform spray test effectively. It is therefore necessary to carry out spray test under controlled conditions. The current study aimed to illuminate the variation law of droplet deposition characteristics under different UAV flight speeds, and to verify the feasibility for applying infrared thermal imaging in detection of droplet deposition effects. A UAV simulation platform with an airborne spray system was established and an analysis program Droplet Analysis for dealing with water-sensitive paper was developed. The results showed that, when the flight speed was set at 0.3 m/s, 0.5 m/s, 0.7 m/s, 0.9 m/s and 1 m/s, respectively, the droplet deposition density, droplet deposition coverage and arithmetic mean of droplet size D 0 decreased as the UAV flight speed increased. On the contrary, the droplet diameter variation coefficient CV increased with the increase of UAV flight speed, resulting in the worse uniformity of sprayed droplet distribution as well. The results can provide a theoretical support for optimizing the spraying parameters of plant protection UAV, and demonstrate the practicability of infrared thermal imaging in evaluating the droplet deposition in the field of aerial spraying.

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Section: Experimental Platform and Devicesmentioning

confidence: 99%

Influence of UAV flight speed on droplet deposition characteristics with the application of infrared thermal imaging

Lv¹,

Xiao²,

Tao³

et al. 2019

International Journal of Agricultural and Biological Engineering

Self Cite

View full text Add to dashboard Cite

show abstract

“…Interactions between operational protocols were significant for D v0.1 and D v0.5 but not for D v0. 9 . Similarly, a significant interaction between application height and ground speed was evident for percent area coverage but not for spray rate.…”

Section: Spray Droplet Spectra On Wsp Samplersmentioning

confidence: 99%

Effect of Application Height and Ground Speed on Spray Pattern and Droplet Spectra from Remotely Piloted Aerial Application Systems

Martin

Woldt

Latheef

2019

Drones

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The objectives of this study were to characterize the effects of operational factors on spray application parameters for remotely piloted aerial application systems (RPAAS). The effects of application height and ground speed on spray pattern uniformity and droplet spectra characteristics were investigated for two RPAAS (DJI model MG-1 and HSE V6A) delivery vehicles equipped with original equipment manufacturer (OEM) nozzles. A spray mixture of tap water and fluorescent dye was applied at three different application heights in conjunction with four different ground speeds over the center line of a cotton string, suspended 1 m above ground. Fluorometric assessment of spray deposits on cotton strings and spray droplets captured on water-sensitive paper samplers described spray pattern and droplet spectra, respectively. Effective swath was determined based on the widest spray swath with a coefficient of variation (CV) ≤ 25%. Regardless of ground speed, application heights of 2 and 3 m yielded the largest effective swath for the MG-1. Neither application height nor ground speed significantly influenced effective swath for the V6A. These test results may provide guidance to remote aerial applicators as to the best application height and ground speed to use for their RPAAS for efficacious application of pest control products.

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“…Implementation of digital farming practices result in a sustainable, efficient, and stable production with a significant increase in yield. Some of the technologies involved in digital farming include the Internet of Thing [180] , big data analysis [181] , smart sensors [182] , GPS and GIS, ICT [183] , wireless sensor networks [184,185] , UAV [186][187][188] , cloud computing [189][190][191] , simulation software [192][193][194][195] , mapping applications [196,197] , virtual farms [198][199][200] , mobile devices [201][202][203][204] , and robotics. A conceptual illustrating of digital farming and its relationship with agricultural robotics is provided in Figure 6, showing that the collected data by the robot agents are sent to a cloud advisory center for decision makings.…”

Section: Agricultural Robotics and Digital Farmingmentioning

confidence: 99%

Research and development in agricultural robotics: A perspective of digital farming

Shamshiri¹,

Weltzien²,

Hameed³

et al. 2018

International Journal of Agricultural and Biological Engineering

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Digital farming is the practice of modern technologies such as sensors, robotics, and data analysis for shifting from tedious operations to continuously automated processes. This paper reviews some of the latest achievements in agricultural robotics, specifically those that are used for autonomous weed control, field scouting, and harvesting. Object identification, task planning algorithms, digitalization and optimization of sensors are highlighted as some of the facing challenges in the context of digital farming. The concepts of multi-robots, human-robot collaboration, and environment reconstruction from aerial images and ground-based sensors for the creation of virtual farms were highlighted as some of the gateways of digital farming. It was shown that one of the trends and research focuses in agricultural field robotics is towards building a swarm of small scale robots and drones that collaborate together to optimize farming inputs and reveal denied or concealed information. For the case of robotic harvesting, an autonomous framework with several simple axis manipulators can be faster and more efficient than the currently adapted professional expensive manipulators. While robots are becoming the inseparable parts of the modern farms, our conclusion is that it is not realistic to expect an entirely automated farming system in the future.

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

Cited by 33 publications

References 12 publications

Influence of UAV flight speed on droplet deposition characteristics with the application of infrared thermal imaging

Influence of UAV flight speed on droplet deposition characteristics with the application of infrared thermal imaging

Effect of Application Height and Ground Speed on Spray Pattern and Droplet Spectra from Remotely Piloted Aerial Application Systems

Research and development in agricultural robotics: A perspective of digital farming

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