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Comparing UAV-Based Technologies and RGB-D Reconstruction Methods for Plant Height and Biomass Monitoring on Grass Ley., , , , and . Sensors, 19 (3): 535 (2019)A Low-Cost Approach to Automatically Obtain Accurate 3D Models of Woody Crops., , , , and . Sensors, 18 (1): 30 (2018)Route planning for agricultural tasks: A general approach for fleets of autonomous vehicles in site-specific herbicide applications., , , and . Comput. Electron. Agric., (2016)Low-Cost Three-Dimensional Modeling of Crop Plants., , , , , , , and . Sensors, 19 (13): 2883 (2019)Efficient Distribution of a Fleet of Heterogeneous Vehicles in Agriculture: A Practical Approach to Multi-path Planning., , , and . ICARSC, page 56-61. IEEE, (2015)Generating Autonomous Behaviour for a Crop Inspection Robot., , and . ROBOT (1), volume 252 of Advances in Intelligent Systems and Computing, page 481-493. Springer, (2013)On-Ground Vineyard Reconstruction Using a LiDAR-Based Automated System., , , , , and . Sensors, 20 (4): 1102 (2020)Evaluation of Vineyard Cropping Systems Using On-Board RGB-Depth Perception., , , , , , , and . Sensors, 20 (23): 6912 (2020)Aerial imagery or on-ground detection? An economic analysis for vineyard crops., , , , and . Comput. Electron. Agric., (2019)Influence of Wind Speed on RGB-D Images in Tree Plantations., , , , , and . Sensors, 17 (4): 914 (2017)