• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于植保无人机减少农药浪费方法的研究综述

Research on Methods Decreasing Pesticide Waste Based on Plant Protection Unmanned Aerial Vehicles: A Review.

作者信息

Hu Heming, Kaizu Yutaka, Huang Jingjing, Furuhashi Kenichi, Zhang Hongduo, Li Ming, Imou Kenji

机构信息

Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan.

Hunan Agricultural Equipment Research Institute, Changsha, China.

出版信息

Front Plant Sci. 2022 Jul 7;13:811256. doi: 10.3389/fpls.2022.811256. eCollection 2022.

DOI:10.3389/fpls.2022.811256
PMID:35873963
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9301381/
Abstract

In plant protection, the increasing maturity of unmanned aerial vehicle (UAV) technology has greatly increased efficiency. UAVs can adapt to multiple terrains and do not require specific take-off platforms. They do well, especially in farmland areas with rugged terrain. However, due to the complex flow field at the bottom of a UAV, some of the droplets will not reach the surface of a plant, which causes pesticide waste and environmental pollution. Droplet deposition is a good indicator of the utilization rate of pesticides; therefore, this review describes recent studies on droplet deposition for further method improvement. First, this review introduces the flight altitude, speed, and environmental factors that affect pesticide utilization efficiency and then summarizes methods to improve pesticide utilization efficiency from three aspects: nozzles, electrostatic sprays, and variable spray systems. We also point out the possible direction of algorithm development for a UAV's precision spray.

摘要

在植物保护领域,无人机(UAV)技术日益成熟,极大地提高了效率。无人机能够适应多种地形,且不需要特定的起飞平台。它们在地形崎岖的农田区域表现出色。然而,由于无人机底部的流场复杂,部分液滴无法到达植物表面,这导致了农药浪费和环境污染。液滴沉积是农药利用率的一个良好指标;因此,本综述介绍了近期关于液滴沉积的研究,以便进一步改进方法。首先,本综述介绍了影响农药利用效率的飞行高度、速度和环境因素,然后从喷嘴、静电喷雾和变量喷雾系统三个方面总结了提高农药利用效率的方法。我们还指出了无人机精准喷雾算法开发的可能方向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb67/9301381/59a2267f9a28/fpls-13-811256-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb67/9301381/016322ef1238/fpls-13-811256-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb67/9301381/59a2267f9a28/fpls-13-811256-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb67/9301381/016322ef1238/fpls-13-811256-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb67/9301381/59a2267f9a28/fpls-13-811256-g002.jpg

相似文献

1
Research on Methods Decreasing Pesticide Waste Based on Plant Protection Unmanned Aerial Vehicles: A Review.基于植保无人机减少农药浪费方法的研究综述
Front Plant Sci. 2022 Jul 7;13:811256. doi: 10.3389/fpls.2022.811256. eCollection 2022.
2
Effect of flight velocity on droplet deposition and drift of combined pesticides sprayed using an unmanned aerial vehicle sprayer in a peach orchard.飞行速度对桃园中使用无人机喷雾器喷施的混合农药液滴沉积和漂移的影响
Front Plant Sci. 2022 Sep 29;13:981494. doi: 10.3389/fpls.2022.981494. eCollection 2022.
3
Using tank-mix adjuvant improves the physicochemical properties and dosage delivery to reduce the use of pesticides in unmanned aerial vehicles for plant protection in wheat.采用桶混助剂可改善物理化学性质和剂量传递,减少在小麦无人植保飞机上使用农药。
Pest Manag Sci. 2022 Jun;78(6):2512-2522. doi: 10.1002/ps.6879. Epub 2022 Apr 5.
4
Effects of tank-mix adjuvants on physicochemical properties and dosage delivery at low dilution ratios for unmanned aerial vehicle application in paddy fields.桶混助剂对稻田无人机应用低稀释率下理化性质及施药量的影响
Pest Manag Sci. 2022 Apr;78(4):1582-1593. doi: 10.1002/ps.6777. Epub 2022 Jan 29.
5
Comparison of Droplet Size, Coverage, and Drift Potential from UAV Application Methods and Ground Application Methods on Row Crops.无人机应用方法与地面应用方法在条播作物上的雾滴大小、覆盖范围和漂移潜力比较
Trans ASABE. 2021;64(3):819-828. doi: 10.13031/trans.14121.
6
Design of Plant Protection UAV Variable Spray System Based on Neural Networks.基于神经网络的植保无人机变量喷雾系统设计。
Sensors (Basel). 2019 Mar 5;19(5):1112. doi: 10.3390/s19051112.
7
Research on a UAV spray system combined with grid atomized droplets.一种结合网格雾化液滴的无人机喷雾系统的研究
Front Plant Sci. 2024 Jan 3;14:1286332. doi: 10.3389/fpls.2023.1286332. eCollection 2023.
8
Analysis of the research progress on the deposition and drift of spray droplets by plant protection UAVs.植保无人机喷雾雾滴沉积与飘移研究进展分析
Sci Rep. 2023 Sep 11;13(1):14935. doi: 10.1038/s41598-023-40556-0.
9
Field evaluation of an unmanned aerial vehicle (UAV) sprayer: effect of spray volume on deposition and the control of pests and disease in wheat.田间评价无人机喷雾器:喷雾量对小麦病虫害防治及沉积的影响。
Pest Manag Sci. 2019 Jun;75(6):1546-1555. doi: 10.1002/ps.5321. Epub 2019 Feb 14.
10
Field evaluation of spray drift and environmental impact using an agricultural unmanned aerial vehicle (UAV) sprayer.使用农用无人机喷雾器进行喷雾漂移和环境影响的田间评估。
Sci Total Environ. 2020 Oct 1;737:139793. doi: 10.1016/j.scitotenv.2020.139793. Epub 2020 May 29.

本文引用的文献

1
Reducing pesticide spraying drift by folate/Zn supramolecular hydrogels.叶酸/Zn 超分子水凝胶减少农药喷雾漂移。
Pest Manag Sci. 2021 Nov;77(11):5278-5285. doi: 10.1002/ps.6570. Epub 2021 Aug 7.
2
Assessment of Vineyard Canopy Characteristics from Vigour Maps Obtained Using UAV and Satellite Imagery.利用无人机和卫星图像获取的活力图评估葡萄园冠层特征。
Sensors (Basel). 2021 Mar 29;21(7):2363. doi: 10.3390/s21072363.
3
Real-time recognition of spraying area for UAV sprayers using a deep learning approach.利用深度学习方法实时识别无人机喷雾器的喷洒区域。
PLoS One. 2021 Apr 1;16(4):e0249436. doi: 10.1371/journal.pone.0249436. eCollection 2021.
4
Assessment of spray deposition, drift and mass balance from unmanned aerial vehicle sprayer using an artificial vineyard.利用人工葡萄园评估无人机喷雾器的喷雾沉积、漂移和质量平衡。
Sci Total Environ. 2021 Jul 10;777:146181. doi: 10.1016/j.scitotenv.2021.146181. Epub 2021 Mar 3.
5
WSN-Assisted UAV Trajectory Adjustment for Pesticide Drift Control.WSN 辅助无人机的轨迹调整以控制农药漂移。
Sensors (Basel). 2020 Sep 24;20(19):5473. doi: 10.3390/s20195473.
6
Model and design of real-time control system for aerial variable spray.空中变量喷雾实时控制系统的建模与设计。
PLoS One. 2020 Jul 23;15(7):e0235700. doi: 10.1371/journal.pone.0235700. eCollection 2020.
7
Field evaluation of spray drift and environmental impact using an agricultural unmanned aerial vehicle (UAV) sprayer.使用农用无人机喷雾器进行喷雾漂移和环境影响的田间评估。
Sci Total Environ. 2020 Oct 1;737:139793. doi: 10.1016/j.scitotenv.2020.139793. Epub 2020 May 29.
8
Proposal for an Embedded System Architecture Using a GNDVI Algorithm to Support UAV-Based Agrochemical Spraying.基于 GNDVI 算法的嵌入式系统架构,支持基于无人机的农业喷洒。
Sensors (Basel). 2019 Dec 7;19(24):5397. doi: 10.3390/s19245397.
9
Integration of remote-weed mapping and an autonomous spraying unmanned aerial vehicle for site-specific weed management.远程杂草测绘与自主喷洒无人机的整合,实现了特定地点杂草管理。
Pest Manag Sci. 2020 Apr;76(4):1386-1392. doi: 10.1002/ps.5651. Epub 2019 Nov 12.
10
Distribution characteristics on droplet deposition of wind field vortex formed by multi-rotor UAV.多旋翼无人机形成的风场涡旋液滴沉积分布特性。
PLoS One. 2019 Jul 22;14(7):e0220024. doi: 10.1371/journal.pone.0220024. eCollection 2019.