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Three-Dimensional Modeling of Weed Plants Using Low-Cost Photogrammetry., , , , and . Sensors, 18 (4): 1077 (2018)Highlights and preliminary results for autonomous crop protection., , , , , , , and . Comput. Electron. Agric., (2015)Influence of Wind Speed on RGB-D Images in Tree Plantations., , , , , and . Sensors, 17 (4): 914 (2017)Accuracy and Feasibility of Optoelectronic Sensors for Weed Mapping in Wide Row Crops., , , and . Sensors, 11 (3): 2304-2318 (2011)Matching the Best Viewing Angle in Depth Cameras for Biomass Estimation Based on Poplar Seedling Geometry., , and . Sensors, 15 (6): 12999-13011 (2015)Spatial Analysis of Digital Imagery of Weeds in a Maize Crop., , , , , , and . ISPRS Int. J. Geo Inf., 7 (2): 61 (2018)Discriminating Crop, Weeds and Soil Surface with a Terrestrial LIDAR Sensor., , , , , , , , , and . Sensors, 13 (11): 14662-14675 (2013)An Approach to the Use of Depth Cameras for Weed Volume Estimation., , , and . Sensors, 16 (7): 972 (2016)Multi-path planning based on a NSGA-II for a fleet of robots to work on agricultural tasks., , , , and . IEEE Congress on Evolutionary Computation, page 1-8. IEEE, (2012)Using depth cameras to extract structural parameters to assess the growth state and yield of cauliflower crops., , , and . Comput. Electron. Agric., (2016)