Papers & books
Selected papers
Modelling Vineyard Spraying by Precisely Assessing the Duty Cycles of a Blast Sprayer Controlled by Pulse-Width-Modulated Nozzles, 2023 MDPI Agriculture 13 (2), 499 – OPEN ACCESS DOI: 10.3390/agriculture13020499 | |
Robotics-based vineyard water potential monitoring at high resolution, 2021 Elsevier Computers and Electronics in Agriculture – OPEN ACCESS DOI: 10.1016/j.compag.2021.106311 | |
Sensing architecture for terrestrial crop monitoring: harvesting data as an asset, 2021 MDPI Sensors – OPEN ACCESS DOI: 10.3390/s21093114 | |
Augmented Perception for Agricultural Robots Navigation, 2020 IEEE Sensors – OPEN ACCESS DOI: 10.1109/jsen.2020.3016081 | |
From Smart Farming towards Agriculture 5.0: a review on crop data management, 2020 Agronomy 10(2), 207 – Review paper, OPEN ACCESS DOI: 10.3390/agronomy10020207 | |
AgEng conference. July 8–12, 2018, Wageningen, the Netherlands | |
Performance Improvement of a Vineyard Robot through its Mechanical Design, 2017 ASABE Paper No. 1701120. St. Joseph, MI.: ASABE. DOI: 10.13031/aim.201701120 | |
Sonar-based aid for the execution of headland turns by a vineyard robot, 2016 ASABE Paper No. 162456431. St. Joseph, MI.: ASABE. DOI: 10.13031/aim.20162456431 | |
Preliminary Approach for Real-time Mapping of Vineyards from an Autonomous Ground Robot, 2016
ASABE Paper No. 162457331. St. Joseph, MI.: ASABE. DOI: 10.13031/aim.20162457331 | |
Navigation Strategies for a Vineyard Robot, 2015
ASABE Annual International Meeting. New Orleans, Louisiana. DOI: 10.13031/aim.152189750. AWARDED PAPER! | |
Robot-generated Crop Maps for Decision-making in Vineyards, 2015
ASABE Annual International Meeting. New Orleans, Louisiana. DOI: 10.13031/aim.152189909 | |
The role of GNSS in the navigation strategies of cost-effective agricultural robots, 2014 Computers and Electronics in Agriculture, Volume 112, Pp. 172–183 DOI: 10.1016/j.compag.2014.12.017 | |
Crop Biometric Maps: The Key to Prediction, 2013 Sensors, 13(9), 12698-12743 DOI: 10.3390/s130912698
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Robust estimation of Ackerman angles for front-axle steered vehicles, 2013 Artificial Intelligence Research 2 (2): 18-27 DOI: 10.5430/air.v2n2p18 |
GPS data conditioning for enhancing reliability of automated off-road vehicles, 2013
Journal of Automobile Engineering 227 (4): 521 – 535. DOI: 10.1177/0954407012454976 | |
Dynamic segmentation to estimate vine vigor from ground images, 2012 Spanish Journal of Agricultural Research 10 (3): 596 – 604 DOI: 10.5424/sjar/2012103-508-11 | |
| Global-referenced navigation grids for off-road vehicles and environments, 2012
Robotics and Autonomous Systems 60: 278-287 DOI: 10.1016/j.robot.2011.11.007 |
| Sensor architecture and task classification for agricultural vehicles and environments, 2010
Sensors 10 (12): 11226 – 11247 DOI: 10.3390/s101211226 |
| Design parameters for adjusting the visual field of binocular stereo cameras, 2010
Biosystems Engineering 105: 59-70 |
| Recent innovations in off-road intelligent vehicles: in-field automatic navigation, 2009
Recent Patents on Mechanical Engineering 2: 169-178 DOI: 10.1016/j.compag.2007.07.007 |
| Bifocal stereoscopic vision for intelligent vehicles, 2009
International Journal of Vehicular Technology ID 123231 DOI: 10.1155/2009/123231 |
| Fuzzy logic control of an electrohydraulic valve for auto-steering off-road vehicles, 2008
Journal of Automobile Engineering 222: 917-934 |
| Stereo vision three-dimensional terrain maps for precision agriculture, 2008
Computers and Electronics in Agriculture 60: 133-143. DOI: 10.1016/j.compag.2007.07.007 |
| Dynamic behavior of an electrohydraulic valve: Typology of characteristic curves, 2007
Mechatronics 17: 551-561. DOI: 10.1016/j.mechatronics.2007.07.003 |
| Stereovision data processing with 3D density maps for agricultural vehicles, 2006
Transactions of the ASABE 49 (4): 1213 – 1222 |
Books