Droplet Distribution and Control Against Citrus Leafminer With Uav Spraying

Pan, Zhiyong; Wang, Kejian; Lyu, Qiang; He, Shao-lan; Yi, Shilai; Xie, Renjian; Zheng, Yongqiang; Ma, Yue; Deng, Lie

doi:10.2316/journal.206.2017.3.206-4980

Cited by 13 publications

(12 citation statements)

References 11 publications

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“…The DR values at different canopy heights did not vary significantly at the same velocity. However, Xu et al (2017) confirmed that when the plant protection drones perform rice application operations, the diffusion ratio in the middle layer of the rice is better than that in the upper and lower layers.…”

Section: Resultsmentioning

confidence: 99%

“…et al, 2021 ). Various methods have been developed to improve the spraying efficiency and control the effect of pesticides, such as ground spraying, aerial spraying, air-assisted spraying, and knapsack spraying ( Qin et al, 2016 ; Pan et al, 2017 ; Wang et al, 2019b ).…”

Section: Introductionmentioning

confidence: 99%

“…Droplet deposition and spray drift characteristics are important indicators for the evaluation of plant protection equipment. Extensive research has been conducted on the factors affecting droplet deposition in UAV spraying, such as droplet size ( Chen et al, 2020 ), flight velocity ( Meng et al, 2020 ; Zhang S.C. et al, 2021 ), flight height ( Zhang S.C. et al, 2021 ), tree shape ( Pan et al, 2017 ; Tang et al, 2018 ; Meng et al, 2020 ), wind field ( Chen et al, 2017 ), spray volume ( Wang et al, 2019a ; Li et al, 2021b ), aerial spray adjuvants ( Meng et al, 2018 ), UAV type ( Wang et al, 2017 , 2021 ), and nozzle type ( Wang et al, 2021 ). In terms of crop types, the existing studies are primarily focused on field crops.…”

Section: Introductionmentioning

confidence: 99%

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Effect of flight velocity on droplet deposition and drift of combined pesticides sprayed using an unmanned aerial vehicle sprayer in a peach orchard

Hú²,

Liu³

et al. 2022

Front. Plant Sci.

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Extensive research has been conducted on plant protection unmanned aerial vehicle (UAV) chemical application technology in recent years owing to its importance as a means of pest and disease control. UAV spraying in orchards faces the drawback of drift risk and can be hazardous to non-targeted crops, humans, and the environment. A detailed and systematic analysis must be performed to determine the uniformity and drift risk of plant UAV sprays. In this study, a peach orchard is sprayed with a plant-protection UAV at three different flight velocities and we evaluate the combined pesticide deposition performance of the canopy, ground loss, downwind ground drift, and airborne drift. Additionally, the droplet size and coverage rate in the canopy are calculated by using water-sensitive paper. The results demonstrate that there is significant difference in the droplet size at flight velocities of 1–3 m/s. The droplet size in the lower canopy is slightly smaller than those in the middle and upper parts. Increasing the flight velocity helps the pesticide droplets to spread and penetrate the canopy. However, it also causes a non-uniform pesticide deposition, reduced effective coverage ratio and effective density ratio. Among the three pesticides used in the experiment, imidacloprid exhibits the best deposition efficiency. The deposition amount and normalized deposition amount in the canopy were the highest at a flight velocity of 2 m/s, accompanied by a lower ground loss under the canopy. The highest near-field ground drift is observed at a velocity of 1 m/s, and the far-field airborne drift is highest at 3 m/s. Lastly, this study provides a reference for the commercial application of plant-protection UAVs.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Effect of flight velocity on droplet deposition and drift of combined pesticides sprayed using an unmanned aerial vehicle sprayer in a peach orchard

Hú²,

Liu³

et al. 2022

Front. Plant Sci.

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“…In addition to spraying crops grown in fields, attempts are also being made to use rotorcraft drones to spray trees in parks and forests as well as on fruit trees in orchards [24][25][26][27].…”

Section: Introductionmentioning

confidence: 99%

Impact of the Parameters of Spraying with a Small Unmanned Aerial Vehicle on the Distribution of Liquid on Young Cherry Trees

Chojnacki

Pachuta

2021

Agriculture

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Research was carried out concerning spraying young cherry trees with a multirotor drone: a hexacopter. The aim of the study was to evaluate the impact of the following: the nozzle type, the air stream from the drone rotors and the size of spacing between the trees on the distribution of the liquid sprayed in the crown of the trees being sprayed. Experimental trials were conducted on a laboratory test stand. Air-injector spray nozzles: single and a twin flat were used interchangeably to spray the liquid. The travelling speed of the drone was 1.0 m∙s−1. A drone of 106.7 N weight was accepted in the study. The value of the spray liquid deposited and the uniformity of the liquid deposition in the crowns of the trees as well as the transverse distribution of the liquid under the nozzles were evaluated. It was found that the air stream from the drone rotors increased the distribution of the liquid on the trees sprayed, mainly at the middle and lower levels of the crown. A higher deposition value of the liquid was sprayed from the twin flat nozzle than from the single flat nozzle. There was no significant effect of the difference in the distance between the trees, of 0.5 and 1.0 m, on the liquid distribution. Under the influence of the air jet, the uniformity of the liquid distribution in the crowns of the trees also improved.

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“…Compared with traditional ground-based mechanical sprayers that have a high-volume spraying mechanism, the UAV-based sprayers display the following advantageous characteristics: a downwind produced by rotors, nozzles 1-2 meters above the upper canopy, low-volume high-concentration spraying and auto-navigation intelligence and smart spraying. Relevant work has been performed on the droplet distribution in the crop canopy, biological control efficacy, droplet drift, and pesticide residue [10,13,[18][19][20][21] . With respect to cotton crops, UAVs have also been used for applying harvest aids.…”

Section: Introductionmentioning

confidence: 99%

Harvest-aid application strategy in different cotton planting densities by unmanned aerial vehicle

Meng

Han

Liang

et al. 2019

International Journal of Precision Agricultural Aviation

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Harvest aids are widely used for defoliating leaves and accelerating the opening of green bolls to facilitate machine harvesting in cotton (Gossypium hirsutum L.) production areas. Cotton harvest aids applied by ground-based mechanical sprayers are inefficient due to mechanical damage to cotton crops and soil and low flexibility. For the last few years, small plant protection unmanned aerial vehicles (UAVs) have been used for applying pesticides across the world due to their high efficiency, high pesticide utilization, low volume and no harmful damage to crops and soil. This study mainly focuses on developing the technology of harvest aid application by UAVs with respect to the dosage and application frequency. Compared with previous studies, this work performs miscellaneous field trials for two years in three experimental sites located in high-density planting areas and two sites in sparse-density planting areas, wherein both cotton cultivation modes and weather conditions are different. In the study, single-round, dual-round and reduced dosage applications are tested, where the defoliation rate, boll opening rate, fiber quality and lint cotton yield are assessed based on the collected data. It is concluded from the experimental results that the achieved defoliation rate and boll opening rate of treatments with a single-round application using the recommended dosage fail to meet the harvest requirements in the case of high planting density (180,000-195,000 plants/hm 2). However, with the dual-round application of the exact recommended dosage or 20% lower than the recommended dosage, the achieved defoliation rate, and boll opening rate meet the machine harvest requirements. In sparse-density planting areas (≤90,000 plants/ha), the results of treatment with the recommended dosage and single-round application by UAV spraying meet the requirements. In all the experimental sites, the harvest-aid dosage and application frequency do not affect fiber quality and lint cotton yield. In summary, considering the cost and environmental protection, harvest aid application by UAVs with a dual-round application at 80% of the recommended dosage at a 7-day interval is encouraged in high-density planting areas, while in sparse-density planting areas, single-round application of harvest aids at the recommended dosage by UAVs is encouraged. The results provide paramount guidance for cotton farmers and scholars in this field. Possible future studies are also discussed in this paper.

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Droplet Distribution and Control Against Citrus Leafminer With Uav Spraying

Cited by 13 publications

References 11 publications

Effect of flight velocity on droplet deposition and drift of combined pesticides sprayed using an unmanned aerial vehicle sprayer in a peach orchard

Effect of flight velocity on droplet deposition and drift of combined pesticides sprayed using an unmanned aerial vehicle sprayer in a peach orchard

Impact of the Parameters of Spraying with a Small Unmanned Aerial Vehicle on the Distribution of Liquid on Young Cherry Trees

Harvest-aid application strategy in different cotton planting densities by unmanned aerial vehicle

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