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Comparison of off-target pesticide drift in paddy fields from unmanned aerial vehicle spraying using cellulose deposition sampler

Authors :
Hye-Ran Eun
So-Hee Kim
Yoon-Hee Lee
Su-Min Kim
Ye-Jin Lee
Hee-Young Jung
Yi-Gi Min
Hyun Ho Noh
Yongho Shin
Source :
Ecotoxicology and Environmental Safety, Vol 285, Iss , Pp 117075- (2024)
Publication Year :
2024
Publisher :
Elsevier, 2024.

Abstract

Off-target pesticide drift in paddy fields following unmanned aerial vehicle (UAV) spraying was evaluated using cellulose deposition samplers (CDSs). An analytical method for quantifying ferimzone Z and E isomers deposited on CDSs was developed using LC-MS/MS. The suitability of the CDS method was confirmed by comparing deposition patterns on CDSs with residue levels in rice plant samples. To assess pesticide deposition in paddy fields, CDSs were strategically placed at varying distances from target areas, followed by UAV spraying. The fungicide agrochemicals were applied with and without adjuvants, and wind direction affected the drift trajectory for all treatment groups. Adjuvants, particularly soy lecithin as the major component, significantly enhanced pesticide deposition within the spray pathway while reducing drift rates relatively by 47.9–68.0 %. Higher wind speeds were found to exacerbate drift, but adjuvant-treated sprays showed less variability in deposition patterns under these conditions. Pesticide residues in harvested brown rice were found to be below the maximum residue limits (MRLs), ensuring safety for consumption. These findings highlight the importance of selecting appropriate adjuvants in UAV-based pesticide applications to optimize deposition efficiency and minimize environmental contamination.

Details

Language :
English
ISSN :
01476513
Volume :
285
Issue :
117075-
Database :
Directory of Open Access Journals
Journal :
Ecotoxicology and Environmental Safety
Publication Type :
Academic Journal
Accession number :
edsdoj.58a25c32445cfabc5178fcf69cabf
Document Type :
article
Full Text :
https://doi.org/10.1016/j.ecoenv.2024.117075