Residual Pattern of Pesticides Drifted by Unmanned Aerial Vehicle (UAV) Spraying and Drift Reduction using Maize (Zea mays L.)

Kim, Chang-Jo; Lee, RaeKeun; XIU, YUAN; Kim, Min; Shin, Heejeong; Kim, Leesun; Kee, Sung Kyung; Noh, Hyun Ho

doi:10.7585/kjps.2022.26.2.103

Cited by 4 publications

(3 citation statements)

References 42 publications

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“…1, 14, and 16), the residues of both etofenprox in peach and azoxystrobin in chili pepper exceeded the MRL (Tables 1 , 2 and 3 ). However, the other pesticides sprayed by UAVs were not detected, and there was no evidence of drifted pesticides, as the residue of two pesticides did not decrease as the distance increased from the sprayed area 32 . Furthermore, azoxystrobin is commonly used in farm products such as chili pepper 50 , and etofenprox is frequently detected in both herbal fruits and stalk and stem vegetables 51 , 52 .…”

Section: Resultsmentioning

confidence: 96%

“…These include one case of etofenprox in white-flowered gourd, five cases of propiconazole (three cases of squash leaves and a case of dureup and white-flowered gourd), 21 cases of ferimzone (four cases of soybean leaves, eight cases of chili pepper, four cases of Welsh onion, two cases of eggplant, and one case each of squash leaves, perilla leaves, and tomato), and four cases of dinotefuran in soybean leaves. It was inferred that the pesticides that exceeded the PLS uniform standards were drifted by UAV spray, as all the cases showed uniform residual tendency of pesticides according to distance from the sprayed area, windbreak, and morphology of crops 32 , and the pesticides sprayed by UAV were commonly detected. It is recommended that pesticides for UAV spray be chosen in the case of both rice and farm products, considering ferimzone, which is only applied to rice, and the 68% of total cases that exceeded PLS.…”

Section: Resultsmentioning

confidence: 99%

“…However, in the context of aerial spraying conducted over paddy rice fields in diverse topographies during a specific period in Korea, the factors contributing to drift, including meteorological conditions, UAV spray conditions, UAV components, types of UAVs (multicopter or helicopter), and physical properties of the spray solution 30 , were not identified. Furthermore, it is important to note that drifted pesticides have the potential to impact individuals residing in proximity to farming areas 31 and pose a risk of drifting onto non-target crops, considering that UAVs primarily apply pesticides onto paddy fields 32 . In such a case, the residue of pesticides in these crops would exceed the maximum residue limits (MRL) or positive list system (PLS) uniform standard (0.01 mg/kg), which could pose a risk to human health if such contaminated crops are ingested.…”

Section: Introductionmentioning

confidence: 99%

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Monitoring and risk analysis of residual pesticides drifted by unmanned aerial spraying

Kim

Yuan

Kim

et al. 2023

Sci Rep

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This study aimed to investigate the residual characteristics of pesticides drifted by unmanned aerial spray according to buffer strip, windbreak, and morphological characteristics of non-target crops, suggest prevention for drift reduction, and finally conduct a risk analysis on pesticides exceeding the maximum residue limit (MRL) or uniform level (0.01 mg/kg) of the positive list system (PLS). Non-target crops were collected around the aerial sprayed area (paddy rice) in Boryeong, Seocheon, and Pyeongtaek after UAV spray. When pesticides were detected in more than three samples, Duncan’s multiple range test was performed. In cases where pesticides were detected in only two samples, an independent sample t-test was conducted (p < 0.05). The drift rate of pesticides tends to decrease by up to 100% as the buffer distance from aerial sprayed area increases or when a windbreak, such as maize, is present between two locations. Thus, the reduction of drifted pesticides could be effective if both factors were applied near the UAV spray area. Moreover, the residue of drifted pesticides was found to be the highest in leafy vegetables such as perilla leaves or leaf and stem vegetables such as Welsh onion, followed by fruit vegetables and cucurbits, owing to the morphological characteristics of crops. Therefore, selecting pulse or cereal such as soybean or maize as a farm product near the UAV spray area can be considered to minimize the drift. For pesticides that exceed the MRL or PLS uniform level, %acceptable dietary intake is 0–0.81% with no risk. Additionally, employing pesticides approved for both paddy rice and farm products in UAV spraying can effectively minimize instances where MRL or PLS are exceeded. Therefore, this study aims to provide farmers with effective guidelines for mitigating drift. Furthermore, we strive to promote stable and uninterrupted food production while facilitating the utilization of agricultural technologies such as UAV spraying to address labor shortages and ensure sustainable food security.

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Section: Resultsmentioning

confidence: 96%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Monitoring and risk analysis of residual pesticides drifted by unmanned aerial spraying

Kim

Yuan

Kim

et al. 2023

Sci Rep

Self Cite

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Analysis of Effect on Pesticide Drift Reduction of Prevention Plants Using Spray Drift Tunnel

Park¹,

Lee

Choi

et al. 2023

J. Bio-Env. Con.

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With rising concerns about pesticide spray drift by aerial application, this study attempt to evaluate aerodynamic property and collection efficiency of spray drift according to the leaf area index (LAI) of crop for preventing undesirable pesticide contamination by the spray-drift tunnel experiment. The collection efficiency of the plant with 'Low' LAI was measured at 16.13% at a wind speed of 1 m•s -1 . As the wind speed increased to 2 m•s -1 , the collection efficiency of plant with the same LAI level increased 1.80 times higher to 29.06%. For the 'Medium' level LAI, the collection efficiency was 24.42% and 43.06% at wind speed of 1 m•s -1 and 2 m•s -1 , respectively. For the 'High' level LAI, it also increased 1.24 times higher as the wind speed increased. The measured results indicated that the collection of spray droplets by leaves were increased with LAI and wind speed. This also implied that dense leaves would have more advantages for preventing the drift of airborne spray droplets. Aerodynamic properties also tended to increase as the LAI increased, and the regression analysis of quadric equation and power law equation showed high explanatory of 0.96-0.99.

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Measurement of Droplet Size by the Nozzle Type and Spraying Pressure and Prediction of Drift Distance using the DRIFTSIM Model

Noh,

Kim,

Kim

et al. 2024

Korean Journal of Environmental Agriculture

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Residual Pattern of Pesticides Drifted by Unmanned Aerial Vehicle (UAV) Spraying and Drift Reduction using Maize (Zea mays L.)

Cited by 4 publications

References 42 publications

Monitoring and risk analysis of residual pesticides drifted by unmanned aerial spraying

Monitoring and risk analysis of residual pesticides drifted by unmanned aerial spraying

Analysis of Effect on Pesticide Drift Reduction of Prevention Plants Using Spray Drift Tunnel

Measurement of Droplet Size by the Nozzle Type and Spraying Pressure and Prediction of Drift Distance using the DRIFTSIM Model

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