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Integration of remote‐weed mapping and an autonomous spraying unmanned aerial vehicle for site‐specific weed management
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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Ltd
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7064951/ https://www.ncbi.nlm.nih.gov/pubmed/31622004 http://dx.doi.org/10.1002/ps.5651 |
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author | Hunter, Joseph E Gannon, Travis W Richardson, Robert J Yelverton, Fred H Leon, Ramon G |
author_facet | Hunter, Joseph E Gannon, Travis W Richardson, Robert J Yelverton, Fred H Leon, Ramon G |
author_sort | Hunter, Joseph E |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7064951 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley & Sons, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-70649512020-03-16 Integration of remote‐weed mapping and an autonomous spraying unmanned aerial vehicle for site‐specific weed management Hunter, Joseph E Gannon, Travis W Richardson, Robert J Yelverton, Fred H Leon, Ramon G Pest Manag Sci Research Articles 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. John Wiley & Sons, Ltd 2019-11-12 2020-04 /pmc/articles/PMC7064951/ /pubmed/31622004 http://dx.doi.org/10.1002/ps.5651 Text en © 2019 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Research Articles Hunter, Joseph E Gannon, Travis W Richardson, Robert J Yelverton, Fred H Leon, Ramon G Integration of remote‐weed mapping and an autonomous spraying unmanned aerial vehicle for site‐specific weed management |
title | Integration of remote‐weed mapping and an autonomous spraying unmanned aerial vehicle for site‐specific weed management |
title_full | Integration of remote‐weed mapping and an autonomous spraying unmanned aerial vehicle for site‐specific weed management |
title_fullStr | Integration of remote‐weed mapping and an autonomous spraying unmanned aerial vehicle for site‐specific weed management |
title_full_unstemmed | Integration of remote‐weed mapping and an autonomous spraying unmanned aerial vehicle for site‐specific weed management |
title_short | Integration of remote‐weed mapping and an autonomous spraying unmanned aerial vehicle for site‐specific weed management |
title_sort | integration of remote‐weed mapping and an autonomous spraying unmanned aerial vehicle for site‐specific weed management |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7064951/ https://www.ncbi.nlm.nih.gov/pubmed/31622004 http://dx.doi.org/10.1002/ps.5651 |
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