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

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...

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Autores principales: Kim, Chang Jo, Yuan, Xiu, Kim, Min, Kyung, Kee Sung, Noh, Hyun Ho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10322888/
https://www.ncbi.nlm.nih.gov/pubmed/37407576
http://dx.doi.org/10.1038/s41598-023-36822-w
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author Kim, Chang Jo
Yuan, Xiu
Kim, Min
Kyung, Kee Sung
Noh, Hyun Ho
author_facet Kim, Chang Jo
Yuan, Xiu
Kim, Min
Kyung, Kee Sung
Noh, Hyun Ho
author_sort Kim, Chang Jo
collection PubMed
description 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 pubmed-103228882023-07-07 Monitoring and risk analysis of residual pesticides drifted by unmanned aerial spraying Kim, Chang Jo Yuan, Xiu Kim, Min Kyung, Kee Sung Noh, Hyun Ho Sci Rep Article 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. Nature Publishing Group UK 2023-07-05 /pmc/articles/PMC10322888/ /pubmed/37407576 http://dx.doi.org/10.1038/s41598-023-36822-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Kim, Chang Jo
Yuan, Xiu
Kim, Min
Kyung, Kee Sung
Noh, Hyun Ho
Monitoring and risk analysis of residual pesticides drifted by unmanned aerial spraying
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
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10322888/
https://www.ncbi.nlm.nih.gov/pubmed/37407576
http://dx.doi.org/10.1038/s41598-023-36822-w
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