Accuracy and Feasibility of Optoelectronic Sensors for Weed Mapping in Wide Row Crops

15 páginas, figuras, tablas estadísticas.

Detalhes bibliográficos
Autores: Andújar, Dionisio, Ribeiro Seijas, Ángela, Fernández-Quintanilla, César, Dorado, José
Tipo de documento: artigo
Estado:Versão publicada
Data de publicação:2011
País:España
Recursos:Consejo Superior de Investigaciones Científicas (CSIC)
Repositório:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/38035
Acesso em linha:http://hdl.handle.net/10261/38035
Access Level:Acceso aberto
Palavra-chave:Weed detection
Ground-based mapping system
Sampling resolution
Site-specific weed management
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spelling Accuracy and Feasibility of Optoelectronic Sensors for Weed Mapping in Wide Row CropsAndújar, DionisioRibeiro Seijas, ÁngelaFernández-Quintanilla, CésarDorado, JoséWeed detectionGround-based mapping systemSampling resolutionSite-specific weed management15 páginas, figuras, tablas estadísticas.The main objectives of this study were to assess the accuracy of a ground-based weed mapping system that included optoelectronic sensors for weed detection, and to determine the sampling resolution required for accurate weed maps in maize crops. The optoelectronic sensors were located in the inter-row area of maize to distinguish weeds against soil background. The system was evaluated in three maize fields in the early spring. System verification was performed with highly reliable data from digital images obtained in a regular 12 m × 12 m grid throughout the three fields. The comparison in all these sample points showed a good relationship (83% agreement on average) between the data of weed presence/absence obtained from the optoelectronic mapping system and the values derived from image processing software (“ground truth”). Regarding the optimization of sampling resolution, the comparison between the detailed maps (all crop rows with sensors separated 0.75 m) with maps obtained with various simulated distances between sensors (from 1.5 m to 6.0 m) indicated that a 4.5 m distance (equivalent to one in six crop rows) would be acceptable to construct accurate weed maps. This spatial resolution makes the system cheap and robust enough to generate maps of inter-row weeds.This research was funded by the Spanish CICyT (projects AGL 2008-04670-C03-01 and 02).Peer reviewedMultidisciplinary Digital Publishing InstituteComisión Interministerial de Ciencia y Tecnología, CICYT (España)Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]201120112011info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/38035reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttp://dx.doi.org/10.3390/s110302304Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/380352026-05-22T06:33:51Z
dc.title.none.fl_str_mv Accuracy and Feasibility of Optoelectronic Sensors for Weed Mapping in Wide Row Crops
title Accuracy and Feasibility of Optoelectronic Sensors for Weed Mapping in Wide Row Crops
spellingShingle Accuracy and Feasibility of Optoelectronic Sensors for Weed Mapping in Wide Row Crops
Andújar, Dionisio
Weed detection
Ground-based mapping system
Sampling resolution
Site-specific weed management
title_short Accuracy and Feasibility of Optoelectronic Sensors for Weed Mapping in Wide Row Crops
title_full Accuracy and Feasibility of Optoelectronic Sensors for Weed Mapping in Wide Row Crops
title_fullStr Accuracy and Feasibility of Optoelectronic Sensors for Weed Mapping in Wide Row Crops
title_full_unstemmed Accuracy and Feasibility of Optoelectronic Sensors for Weed Mapping in Wide Row Crops
title_sort Accuracy and Feasibility of Optoelectronic Sensors for Weed Mapping in Wide Row Crops
dc.creator.none.fl_str_mv Andújar, Dionisio
Ribeiro Seijas, Ángela
Fernández-Quintanilla, César
Dorado, José
author Andújar, Dionisio
author_facet Andújar, Dionisio
Ribeiro Seijas, Ángela
Fernández-Quintanilla, César
Dorado, José
author_role author
author2 Ribeiro Seijas, Ángela
Fernández-Quintanilla, César
Dorado, José
author2_role author
author
author
dc.contributor.none.fl_str_mv Comisión Interministerial de Ciencia y Tecnología, CICYT (España)
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Weed detection
Ground-based mapping system
Sampling resolution
Site-specific weed management
topic Weed detection
Ground-based mapping system
Sampling resolution
Site-specific weed management
description 15 páginas, figuras, tablas estadísticas.
publishDate 2011
dc.date.none.fl_str_mv 2011
2011
2011
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/38035
url http://hdl.handle.net/10261/38035
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv http://dx.doi.org/10.3390/s110302304
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,81155

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