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

Abstract 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...

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Main Authors: Chang Jo Kim, Xiu Yuan, Min Kim, Kee Sung Kyung, Hyun Ho Noh
Format: Article
Language:English
Published: Nature Portfolio 2023-07-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-36822-w
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author Chang Jo Kim
Xiu Yuan
Min Kim
Kee Sung Kyung
Hyun Ho Noh
author_facet Chang Jo Kim
Xiu Yuan
Min Kim
Kee Sung Kyung
Hyun Ho Noh
author_sort Chang Jo Kim
collection DOAJ
description Abstract 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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spelling doaj.art-9c77507701b14631a59a8ecf225138fa2023-07-09T11:11:33ZengNature PortfolioScientific Reports2045-23222023-07-0113111110.1038/s41598-023-36822-wMonitoring and risk analysis of residual pesticides drifted by unmanned aerial sprayingChang Jo Kim0Xiu Yuan1Min Kim2Kee Sung Kyung3Hyun Ho Noh4Residual Agrochemical Assessment Division, National Institute of Agricultural SciencesResidual Agrochemical Assessment Division, National Institute of Agricultural SciencesResidual Agrochemical Assessment Division, National Institute of Agricultural SciencesDepartment of Environmental and Biological Chemistry, College of Agriculture, Life and Environment Science, Chungbuk National UniversityResidual Agrochemical Assessment Division, National Institute of Agricultural SciencesAbstract 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.https://doi.org/10.1038/s41598-023-36822-w
spellingShingle Chang Jo Kim
Xiu Yuan
Min Kim
Kee Sung Kyung
Hyun Ho Noh
Monitoring and risk analysis of residual pesticides drifted by unmanned aerial spraying
Scientific Reports
title Monitoring and risk analysis of residual pesticides drifted by unmanned aerial spraying
title_full Monitoring and risk analysis of residual pesticides drifted by unmanned aerial spraying
title_fullStr Monitoring and risk analysis of residual pesticides drifted by unmanned aerial spraying
title_full_unstemmed Monitoring and risk analysis of residual pesticides drifted by unmanned aerial spraying
title_short Monitoring and risk analysis of residual pesticides drifted by unmanned aerial spraying
title_sort monitoring and risk analysis of residual pesticides drifted by unmanned aerial spraying
url https://doi.org/10.1038/s41598-023-36822-w
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