Classification of airborne multispectral imagery to quantify common vole impacts on an agricultural field
Abstract BACKGROUND The common vole ( Microtus arvalis ) is a very destructive agricultural pest. Particularly in Europe, its monitoring is essential not only for adequate management and outbreak forecasting, but also for accurately determining the vole's impact on affected fields. In this stud...
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crwiley:10.1002/ps.6857 2024-09-15T18:02:47+00:00 Classification of airborne multispectral imagery to quantify common vole impacts on an agricultural field Plaza, Javier Sánchez, Nilda García‐Ariza, Carmen Pérez‐Sánchez, Rodrigo Charfolé, Francisco Caminero‐Saldaña, Constantino 2022 http://dx.doi.org/10.1002/ps.6857 https://onlinelibrary.wiley.com/doi/pdf/10.1002/ps.6857 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/ps.6857 en eng Wiley http://creativecommons.org/licenses/by/4.0/ Pest Management Science volume 78, issue 6, page 2316-2323 ISSN 1526-498X 1526-4998 journal-article 2022 crwiley https://doi.org/10.1002/ps.6857 2024-08-13T04:14:44Z Abstract BACKGROUND The common vole ( Microtus arvalis ) is a very destructive agricultural pest. Particularly in Europe, its monitoring is essential not only for adequate management and outbreak forecasting, but also for accurately determining the vole's impact on affected fields. In this study, several alternatives for estimating the damage to alfalfa fields by voles through unmanned vehicle systems (UASs) and multispectral cameras are presented. Currently, both the farmers and agencies involved in the integrated pest management (IPM) programs of voles do not have sufficiently precise methods for accurate assessments of the real impact to crops. RESULTS Overall, the four multispectral classification methods presented showed similar performances. However, the normalized difference vegetation index (NDVI)‐based segmentation exhibited the most accurate and reliable appraisal of the affected areas. Nevertheless, it must be noted that the simplest method, which was based on an automatic classification, provided results similar to those obtained by more complex methods. In addition, a significant direct relationship was found between the number of active burrows and damage to the alfalfa canopy. CONCLUSION Unmanned vehicle systems, combined with multispectral imagery classification, are an effective and easily transferable methodology for the assessment and monitoring of common vole damage to agricultural plots. This combination of methods facilitates decision‐making processes for IPM control strategies against this pest. © 2022 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry. Article in Journal/Newspaper Common vole Microtus arvalis Wiley Online Library Pest Management Science |
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Wiley Online Library |
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English |
description |
Abstract BACKGROUND The common vole ( Microtus arvalis ) is a very destructive agricultural pest. Particularly in Europe, its monitoring is essential not only for adequate management and outbreak forecasting, but also for accurately determining the vole's impact on affected fields. In this study, several alternatives for estimating the damage to alfalfa fields by voles through unmanned vehicle systems (UASs) and multispectral cameras are presented. Currently, both the farmers and agencies involved in the integrated pest management (IPM) programs of voles do not have sufficiently precise methods for accurate assessments of the real impact to crops. RESULTS Overall, the four multispectral classification methods presented showed similar performances. However, the normalized difference vegetation index (NDVI)‐based segmentation exhibited the most accurate and reliable appraisal of the affected areas. Nevertheless, it must be noted that the simplest method, which was based on an automatic classification, provided results similar to those obtained by more complex methods. In addition, a significant direct relationship was found between the number of active burrows and damage to the alfalfa canopy. CONCLUSION Unmanned vehicle systems, combined with multispectral imagery classification, are an effective and easily transferable methodology for the assessment and monitoring of common vole damage to agricultural plots. This combination of methods facilitates decision‐making processes for IPM control strategies against this pest. © 2022 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry. |
format |
Article in Journal/Newspaper |
author |
Plaza, Javier Sánchez, Nilda García‐Ariza, Carmen Pérez‐Sánchez, Rodrigo Charfolé, Francisco Caminero‐Saldaña, Constantino |
spellingShingle |
Plaza, Javier Sánchez, Nilda García‐Ariza, Carmen Pérez‐Sánchez, Rodrigo Charfolé, Francisco Caminero‐Saldaña, Constantino Classification of airborne multispectral imagery to quantify common vole impacts on an agricultural field |
author_facet |
Plaza, Javier Sánchez, Nilda García‐Ariza, Carmen Pérez‐Sánchez, Rodrigo Charfolé, Francisco Caminero‐Saldaña, Constantino |
author_sort |
Plaza, Javier |
title |
Classification of airborne multispectral imagery to quantify common vole impacts on an agricultural field |
title_short |
Classification of airborne multispectral imagery to quantify common vole impacts on an agricultural field |
title_full |
Classification of airborne multispectral imagery to quantify common vole impacts on an agricultural field |
title_fullStr |
Classification of airborne multispectral imagery to quantify common vole impacts on an agricultural field |
title_full_unstemmed |
Classification of airborne multispectral imagery to quantify common vole impacts on an agricultural field |
title_sort |
classification of airborne multispectral imagery to quantify common vole impacts on an agricultural field |
publisher |
Wiley |
publishDate |
2022 |
url |
http://dx.doi.org/10.1002/ps.6857 https://onlinelibrary.wiley.com/doi/pdf/10.1002/ps.6857 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/ps.6857 |
genre |
Common vole Microtus arvalis |
genre_facet |
Common vole Microtus arvalis |
op_source |
Pest Management Science volume 78, issue 6, page 2316-2323 ISSN 1526-498X 1526-4998 |
op_rights |
http://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.1002/ps.6857 |
container_title |
Pest Management Science |
_version_ |
1810440202773069824 |