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http://hdl.handle.net/10261/143303
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Campo DC | Valor | Lengua/Idioma |
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dc.contributor.author | Romeo, Juan | - |
dc.contributor.author | Guerrero Montávez, Juan Miguel | - |
dc.contributor.author | Montalvo, Martín | - |
dc.contributor.author | Emmi, Luis Alfredo | - |
dc.contributor.author | Guijarro, María | - |
dc.contributor.author | González-de-Santos, Pablo | - |
dc.contributor.author | Pajares, Gonzalo | - |
dc.date.accessioned | 2017-02-01T13:22:11Z | - |
dc.date.available | 2017-02-01T13:22:11Z | - |
dc.date.issued | 2013-04-02 | - |
dc.identifier | issn: 1424-8220 | - |
dc.identifier.citation | Sensors 13(4): 4348-4366 (2013) | - |
dc.identifier.uri | http://hdl.handle.net/10261/143303 | - |
dc.description.abstract | 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. | - |
dc.description.sponsorship | 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. | - |
dc.publisher | Multidisciplinary Digital Publishing Institute | - |
dc.relation | info:eu-repo/grantAgreement/EC/FP7/245986 | - |
dc.relation.isversionof | Publisher's version | - |
dc.rights | openAccess | - |
dc.subject | Camera-based sensor | - |
dc.subject | Extrinsic and intrinsic parameters | - |
dc.subject | Uncontrolled illumination | - |
dc.subject | Lens vignetting correction | - |
dc.subject | Crop lines detection accuracy | - |
dc.subject | Weeds detection accuracy | - |
dc.title | Camera sensor arrangement for crop/weed detection accuracy in agronomic images | - |
dc.type | artículo | - |
dc.identifier.doi | 10.3390/s130404348 | - |
dc.relation.publisherversion | http://doi.org/10.3390/s130404348 | - |
dc.date.updated | 2017-02-01T13:22:12Z | - |
dc.description.version | Peer Reviewed | - |
dc.language.rfc3066 | eng | - |
dc.rights.license | https://creativecommons.org/licenses/by-nc-sa/3.0/ | - |
dc.contributor.funder | Ministerio de Economía y Competitividad (España) | - |
dc.contributor.funder | European Commission | - |
dc.relation.csic | Sí | - |
dc.identifier.funder | http://dx.doi.org/10.13039/501100003329 | es_ES |
dc.identifier.funder | http://dx.doi.org/10.13039/501100000780 | es_ES |
dc.identifier.pmid | 23549361 | - |
dc.type.coar | http://purl.org/coar/resource_type/c_6501 | es_ES |
item.openairetype | artículo | - |
item.grantfulltext | open | - |
item.cerifentitytype | Publications | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.fulltext | With Fulltext | - |
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camera_sensor_Romeo.pdf | 1,59 MB | Adobe PDF | Visualizar/Abrir |
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