Literature DB >> 31622004

Integration of remote-weed mapping and an autonomous spraying unmanned aerial vehicle for site-specific weed management.

Joseph E Hunter1, Travis W Gannon1, Robert J Richardson1, Fred H Yelverton1, Ramon G Leon1.   

Abstract

BACKGROUND: Unmanned aerial vehicles (UAVs) have been used in agriculture to collect imagery for crop and pest monitoring, and for decision-making purposes. Spraying-capable UAVs are now commercially available worldwide for agricultural applications. Combining UAV weed mapping and UAV sprayers into an UAV integrated system (UAV-IS) can offer a new alternative to implement site-specific pest management.
RESULTS: The UAV-IS was 0.3- to 3-fold more efficient at identifying and treating target weedy areas, while minimizing treatment on non-weedy areas, than ground-based broadcast applications. The UAV-IS treated 20-60% less area than ground-based broadcast applications, but also missed up to 26% of the target weedy area, while broadcast applications covered almost the entire experimental area and only missed 2-3% of the target weeds. The efficiency of UAV-IS management practices increased as weed spatial aggregation increased (patchiness).
CONCLUSION: Integrating UAV imagery for pest mapping and UAV sprayers can provide a new strategy for integrated pest management programs to improve efficiency and efficacy while reducing the amount of pesticide being applied. The UAV-IS has the potential to improve the detection and control of weed escapes to reduce/delay herbicide resistance evolution.
© 2019 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry. © 2019 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Entities:  

Keywords:  UAV; detection; droplet; off-target; pesticide application; precision agriculture; resistance; site-specific

Year:  2019        PMID: 31622004     DOI: 10.1002/ps.5651

Source DB:  PubMed          Journal:  Pest Manag Sci        ISSN: 1526-498X            Impact factor:   4.845


  3 in total

1.  Design of Variable Spray System for Plant Protection UAV Based on CFD Simulation and Regression Analysis.

Authors:  Ming Ni; Hongjie Wang; Xudong Liu; Yilin Liao; Lin Fu; Qianqian Wu; Jiong Mu; Xiaoyan Chen; Jun Li
Journal:  Sensors (Basel)       Date:  2021-01-18       Impact factor: 3.576

Review 2.  Research on Methods Decreasing Pesticide Waste Based on Plant Protection Unmanned Aerial Vehicles: A Review.

Authors:  Heming Hu; Yutaka Kaizu; Jingjing Huang; Kenichi Furuhashi; Hongduo Zhang; Ming Li; Kenji Imou
Journal:  Front Plant Sci       Date:  2022-07-07       Impact factor: 6.627

3.  Resources for image-based high-throughput phenotyping in crops and data sharing challenges.

Authors:  Monica F Danilevicz; Philipp E Bayer; Benjamin J Nestor; Mohammed Bennamoun; David Edwards
Journal:  Plant Physiol       Date:  2021-10-05       Impact factor: 8.340

  3 in total

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