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dionisio andujar
dionisio andujar
Centro de Automatica y Robotica
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Is the current state of the art of weed monitoring suitable for site‐specific weed management in arable crops?
C Fernández‐Quintanilla, JM Peña, D Andújar, J Dorado, A Ribeiro, ...
Weed research 58 (4), 259-272, 2018
1492018
Potential use of ground‐based sensor technologies for weed detection
GG Peteinatos, M Weis, D Andújar, V Rueda Ayala, R Gerhards
Pest management science 70 (2), 190-199, 2014
1382014
Discriminating crop, weeds and soil surface with a terrestrial LIDAR sensor
D Andújar, V Rueda-Ayala, H Moreno, JR Rosell-Polo, A Escolá, C Valero, ...
Sensors 13 (11), 14662-14675, 2013
113*2013
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
962016
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
922016
Comparing UAV-based technologies and RGB-D reconstruction methods for plant height and biomass monitoring on grass ley
VP Rueda-Ayala, JM Peña, M Höglind, JM Bengochea-Guevara, ...
Sensors 19 (3), 535, 2019
912019
An ultrasonic system for weed detection in cereal crops
D Andújar, M Weis, R Gerhards
Sensors 12 (12), 17343-17357, 2012
892012
Sensor-based mechanical weed control: Present state and prospects
J Machleb, GG Peteinatos, BL Kollenda, D Andújar, R Gerhards
Computers and electronics in agriculture 176, 105638, 2020
882020
Advances in structured light sensors applications in precision agriculture and livestock farming
JR Rosell-Polo, FA Cheein, E Gregorio, D Andújar, L Puigdomènech, ...
Advances in agronomy 133, 71-112, 2015
842015
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
822016
Merge fuzzy visual servoing and GPS-based planning to obtain a proper navigation behavior for a small crop-inspection robot
JM Bengochea-Guevara, J Conesa-Muñoz, D Andújar, A Ribeiro
Sensors 16 (3), 276, 2016
782016
Accuracy and feasibility of optoelectronic sensors for weed mapping in wide row crops
D Andújar, À Ribeiro, C Fernández-Quintanilla, J Dorado
Sensors 11 (3), 2304-2318, 2011
742011
Potential of a terrestrial LiDAR-based system to characterise weed vegetation in maize crops
D Andújar, A Escolà, JR Rosell-Polo, C Fernández-Quintanilla, J Dorado
Computers and electronics in agriculture 92, 11-15, 2013
732013
Weed discrimination using ultrasonic sensors
D Andújar, A Escolà, J Dorado, C FERNÁNDEZ‐QUINTANILLA
Weed Research 51 (6), 543-547, 2011
682011
Aerial imagery or on-ground detection? An economic analysis for vineyard crops
D Andújar, H Moreno, JM Bengochea-Guevara, A de Castro, A Ribeiro
Computers and electronics in agriculture 157, 351-358, 2019
592019
Weed identification in maize, sunflower, and potatoes with the aid of convolutional neural networks
GG Peteinatos, P Reichel, J Karouta, D Andújar, R Gerhards
Remote Sensing 12 (24), 4185, 2020
552020
On-ground vineyard reconstruction using a LiDAR-based automated system
H Moreno, C Valero, JM Bengochea-Guevara, Á Ribeiro, M Garrido-Izard, ...
Sensors 20 (4), 1102, 2020
482020
Three-dimensional modeling of weed plants using low-cost photogrammetry
D Andújar, M Calle, C Fernández-Quintanilla, Á Ribeiro, J Dorado
Sensors 18 (4), 1077, 2018
452018
Estimating tree height and biomass of a poplar plantation with image-based UAV technology
JM Peña, AI de Castro, J Torres-Sánchez, D Andújar, C San Martín, ...
AIMS Agric. Food 3 (3), 313-326, 2018
442018
An assessment of the accuracy and consistency of human perception of weed cover
D Andújar, A Ribeiro, R Carmona, C FERNÁNDEZ‐QUINTANILLA, ...
Weed Research 50 (6), 638-647, 2010
442010
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