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Angela Ribeiro (ORCID 0000-0001-5807-8132)
Angela Ribeiro (ORCID 0000-0001-5807-8132)
Investigadora Científica CSIC. CAR (Center for Automation and Robotics)
Verified email at csic.es - Homepage
Title
Cited by
Cited by
Year
Real-time image processing for crop/weed discrimination in maize fields
XP Burgos-Artizzu, A Ribeiro, M Guijarro, G Pajares
Computers and Electronics in Agriculture 75 (2), 337-346, 2011
4752011
Automatic segmentation of relevant textures in agricultural images
M Guijarro, G Pajares, I Riomoros, PJ Herrera, XP Burgos-Artizzu, ...
Computers and Electronics in Agriculture 75 (1), 75-83, 2011
4622011
Fleets of robots for environmentally-safe pest control in agriculture
P Gonzalez-de-Santos, A Ribeiro, C Fernandez-Quintanilla, ...
Precision Agriculture 18, 574-614, 2017
2692017
Automatic detection of crop rows in maize fields with high weeds pressure
M Montalvo, G Pajares, JM Guerrero, J Romeo, M Guijarro, A Ribeiro, ...
Expert Systems with Applications 39 (15), 11889-11897, 2012
2452012
An air-ground wireless sensor network for crop monitoring
J Valente, D Sanz, A Barrientos, J Del Cerro, Á Ribeiro, C Rossi
Sensors 11 (6), 6088-6108, 2011
2402011
A computer vision approach for weeds identification through Support Vector Machines
A Tellaeche, G Pajares, XP Burgos-Artizzu, A Ribeiro
Applied Soft Computing 11 (1), 908-915, 2011
2242011
A new vision-based approach to differential spraying in precision agriculture
A Tellaeche, XP BurgosArtizzu, G Pajares, A Ribeiro, ...
computers and electronics in agriculture 60 (2), 144-155, 2008
2242008
A vision-based method for weeds identification through the Bayesian decision theory
A Tellaeche, XP Burgos-Artizzu, G Pajares, A Ribeiro
Pattern Recognition 41 (2), 521-530, 2008
2232008
Automatic expert system based on images for accuracy crop row detection in maize fields
JM Guerrero, M Guijarro, M Montalvo, J Romeo, L Emmi, A Ribeiro, ...
Expert Systems with Applications 40 (2), 656-664, 2013
1732013
Is the current state of the art of weed monitoring suitable for site‐specific weed management in arable crops?
FLG C Fernández‐Quintanilla, JM Peña, Dionisio Andújar, J Dorado, A Ribeiro
Weed research 58 (4), 259-272, 2018
1672018
Improving weed pressure assessment using digital images from an experience-based reasoning approach
XP Burgos-Artizzu, A Ribeiro, A Tellaeche, G Pajares, ...
Computers and electronics in agriculture 65 (2), 176-185, 2009
1342009
Highlights and preliminary results for autonomous crop protection
M Pérez-Ruiz, P González-de-Santos, A Ribeiro, C Fernández-Quintanilla, ...
Computers and Electronics in Agriculture 110, 150-161, 2015
1222015
Analysis of natural images processing for the extraction of agricultural elements
XP Burgos-Artizzu, A Ribeiro, A Tellaeche, G Pajares, ...
Image and Vision Computing 28 (1), 138-149, 2010
1222010
Route planning for agricultural tasks: A general approach for fleets of autonomous vehicles in site-specific herbicide applications
J Conesa-Muñoz, JM Bengochea-Guevara, D Andujar, A Ribeiro
Computers and Electronics in Agriculture 127, 204-220, 2016
1152016
A novel approach for weed type classification based on shape descriptors and a fuzzy decision-making method
PJ Herrera, J Dorado, Á Ribeiro
Sensors 14 (8), 15304-15324, 2014
1082014
Development of an image analysis system for estimation of weed pressure
A Ribeiro, C Fernández-Quintanilla, J Barroso, MC García-Alegre
Precision Agriculture ‘05, 169-174, 2005
1072005
Mix-opt: A new route operator for optimal coverage path planning for a fleet in an agricultural environment
J Conesa-Muñoz, G Pajares, A Ribeiro
Expert Systems with Applications 54, 364-378, 2016
1032016
An approach to the use of depth cameras for weed volume estimation
D Andújar, J Dorado, C Fernández-Quintanilla, A Ribeiro
Sensors 16 (7), 972, 2016
982016
Sistema de posicionamiento global (gps): descripción, análisis de errores, aplicaciones y futuro
A Pozo-Ruz, A Ribeiro, MC García-Alegre, L García, D Guinea, ...
ETS ingenieros de Telecomunicaciones. Universidad de Malaga, 1-9, 2000
982000
Using depth cameras to extract structural parameters to assess the growth state and yield of cauliflower crops
D Andujar, A Ribeiro, C Fernández-Quintanilla, J Dorado
Computers and Electronics in Agriculture 122, 67-73, 2016
902016
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