Camera sensor arrangement for crop/weed detection accuracy in agronomic images

In Precision Agriculture, images coming from camera-based sensors are commonly used for weed identification and crop line detection, either to apply specific treatments or for vehicle guidance purposes. Accuracy of identification and detection is an important issue to be addressed in image processin...

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Autores: Romeo, Juan, Guerrero Montávez, Juan Miguel, Montalvo, Martín, Emmi, Luis Alfredo, Guijarro, María, González-de-Santos, Pablo, Pajares, Gonzalo
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2013
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/143303
Acceso en línea:http://hdl.handle.net/10261/143303
Access Level:acceso abierto
Palabra clave:Camera-based sensor
Extrinsic and intrinsic parameters
Uncontrolled illumination
Lens vignetting correction
Crop lines detection accuracy
Weeds detection accuracy
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spelling Camera sensor arrangement for crop/weed detection accuracy in agronomic imagesRomeo, JuanGuerrero Montávez, Juan MiguelMontalvo, MartínEmmi, Luis AlfredoGuijarro, MaríaGonzález-de-Santos, PabloPajares, GonzaloCamera-based sensorExtrinsic and intrinsic parametersUncontrolled illuminationLens vignetting correctionCrop lines detection accuracyWeeds detection accuracyIn Precision Agriculture, images coming from camera-based sensors are commonly used for weed identification and crop line detection, either to apply specific treatments or for vehicle guidance purposes. Accuracy of identification and detection is an important issue to be addressed in image processing. There are two main types of parameters affecting the accuracy of the images, namely: (a) extrinsic, related to the sensor's positioning in the tractor; (b) intrinsic, related to the sensor specifications, such as CCD resolution, focal length or iris aperture, among others. Moreover, in agricultural applications, the uncontrolled illumination, existing in outdoor environments, is also an important factor affecting the image accuracy. This paper is exclusively focused on two main issues, always with the goal to achieve the highest image accuracy in Precision Agriculture applications, making the following two main contributions: (a) camera sensor arrangement, to adjust extrinsic parameters and (b) design of strategies for controlling the adverse illumination effects. © 2013 by the authors; licensee MDPI, Basel, Switzerland.The research leading to these results has received funding from the European Union's Seventh Framework Programme (FP7/2007-2013) under Grant Agreement NO.245986. This paper has been extended from a previous paper published in [20]. The authors wish also to acknowledge to the project AGL2011-30442-C02-02, supported by the Ministerio de Economía y Competitividad of Spain within the Plan Nacional de I+D+i.Peer ReviewedMultidisciplinary Digital Publishing InstituteMinisterio de Economía y Competitividad (España)European CommissionConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2017201720132017info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/143303reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/EC/FP7/245986http://doi.org/10.3390/s130404348Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/1433032026-05-22T06:33:51Z
dc.title.none.fl_str_mv Camera sensor arrangement for crop/weed detection accuracy in agronomic images
title Camera sensor arrangement for crop/weed detection accuracy in agronomic images
spellingShingle Camera sensor arrangement for crop/weed detection accuracy in agronomic images
Romeo, Juan
Camera-based sensor
Extrinsic and intrinsic parameters
Uncontrolled illumination
Lens vignetting correction
Crop lines detection accuracy
Weeds detection accuracy
title_short Camera sensor arrangement for crop/weed detection accuracy in agronomic images
title_full Camera sensor arrangement for crop/weed detection accuracy in agronomic images
title_fullStr Camera sensor arrangement for crop/weed detection accuracy in agronomic images
title_full_unstemmed Camera sensor arrangement for crop/weed detection accuracy in agronomic images
title_sort Camera sensor arrangement for crop/weed detection accuracy in agronomic images
dc.creator.none.fl_str_mv Romeo, Juan
Guerrero Montávez, Juan Miguel
Montalvo, Martín
Emmi, Luis Alfredo
Guijarro, María
González-de-Santos, Pablo
Pajares, Gonzalo
author Romeo, Juan
author_facet Romeo, Juan
Guerrero Montávez, Juan Miguel
Montalvo, Martín
Emmi, Luis Alfredo
Guijarro, María
González-de-Santos, Pablo
Pajares, Gonzalo
author_role author
author2 Guerrero Montávez, Juan Miguel
Montalvo, Martín
Emmi, Luis Alfredo
Guijarro, María
González-de-Santos, Pablo
Pajares, Gonzalo
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Ministerio de Economía y Competitividad (España)
European Commission
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Camera-based sensor
Extrinsic and intrinsic parameters
Uncontrolled illumination
Lens vignetting correction
Crop lines detection accuracy
Weeds detection accuracy
topic Camera-based sensor
Extrinsic and intrinsic parameters
Uncontrolled illumination
Lens vignetting correction
Crop lines detection accuracy
Weeds detection accuracy
description In Precision Agriculture, images coming from camera-based sensors are commonly used for weed identification and crop line detection, either to apply specific treatments or for vehicle guidance purposes. Accuracy of identification and detection is an important issue to be addressed in image processing. There are two main types of parameters affecting the accuracy of the images, namely: (a) extrinsic, related to the sensor's positioning in the tractor; (b) intrinsic, related to the sensor specifications, such as CCD resolution, focal length or iris aperture, among others. Moreover, in agricultural applications, the uncontrolled illumination, existing in outdoor environments, is also an important factor affecting the image accuracy. This paper is exclusively focused on two main issues, always with the goal to achieve the highest image accuracy in Precision Agriculture applications, making the following two main contributions: (a) camera sensor arrangement, to adjust extrinsic parameters and (b) design of strategies for controlling the adverse illumination effects. © 2013 by the authors; licensee MDPI, Basel, Switzerland.
publishDate 2013
dc.date.none.fl_str_mv 2013
2017
2017
2017
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/10261/143303
url http://hdl.handle.net/10261/143303
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/EC/FP7/245986
http://doi.org/10.3390/s130404348
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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