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José Dorado
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2020 – today
- 2024
- [j12]Gustavo A. Mesías-Ruiz
, José M. Peña, Ana I. de Castro
Cognitive Computing Advancements: Improving Precision Crop Protection through UAV Imagery for Targeted Weed Monitoring. Remote. Sens. 16(16): 3026 (2024) - [j11]Javier Pacheco-Labrador, Juanjo Peón, Marcos Jiménez, José Ramón Rodríguez-Pérez, José Antonio Jiménez-Berni, David Aragonés, Ricardo Díaz-Delgado, José Dorado, Ana I. de Castro, M. Pilar Martín:
Quantifying the Compatibility of Optical Reflectance Factors in a Field Intercomparison Experiment. IEEE Trans. Geosci. Remote. Sens. 62: 1-9 (2024) - 2021
- [j10]Francisco J. Lima-Cueto, Rafael Blanco-Sepúlveda, María L. Gómez-Moreno, José Dorado
Mapping tillage direction and contour farming by object-based analysis of UAV images. Comput. Electron. Agric. 187: 106281 (2021)
2010 – 2019
- 2018
- [j9]Carolina San Martín
Spatial Analysis of Digital Imagery of Weeds in a Maize Crop. ISPRS Int. J. Geo Inf. 7(2): 61 (2018) - [j8]Dionisio Andújar, Mikel Calle
Three-Dimensional Modeling of Weed Plants Using Low-Cost Photogrammetry. Sensors 18(4): 1077 (2018) - 2017
- [j7]Dionisio Andújar, José Dorado
Influence of Wind Speed on RGB-D Images in Tree Plantations. Sensors 17(4): 914 (2017) - 2016
- [j6]Dionisio Andujar, Angela Ribeiro, César Fernández-Quintanilla, José Dorado
Using depth cameras to extract structural parameters to assess the growth state and yield of cauliflower crops. Comput. Electron. Agric. 122: 67-73 (2016) - [j5]Dionisio Andújar, José Dorado
An Approach to the Use of Depth Cameras for Weed Volume Estimation. Sensors 16(7): 972 (2016) - 2015
- [j4]Dionisio Andújar, César Fernández-Quintanilla, José Dorado
Matching the Best Viewing Angle in Depth Cameras for Biomass Estimation Based on Poplar Seedling Geometry. Sensors 15(6): 12999-13011 (2015) - 2014
- [j3]P. Javier Herrera
A Novel Approach for Weed Type Classification Based on Shape Descriptors and a Fuzzy Decision-Making Method. Sensors 14(8): 15304-15324 (2014) - 2013
- [j2]Dionisio Andújar
Discriminating Crop, Weeds and Soil Surface with a Terrestrial LIDAR Sensor. Sensors 13(11): 14662-14675 (2013) - [c2]P. Javier Herrera
A New Combined Strategy for Discrimination between Types of Weed. ROBOT (1) 2013: 469-480 - 2012
- [c1]Jesús Conesa-Muñoz
Multi-path planning based on a NSGA-II for a fleet of robots to work on agricultural tasks. IEEE Congress on Evolutionary Computation 2012: 1-8 - 2011
- [j1]Dionisio Andújar
Accuracy and Feasibility of Optoelectronic Sensors for Weed Mapping in Wide Row Crops. Sensors 11(3): 2304-2318 (2011)
Coauthor Index
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