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Mobile terrestrial laser scanner vs. UAV photogrammetry to estimate woody crop canopy parameters - Part 1: Methodology and comparison in vineyards., , , , , , , , , and 1 other author(s). Comput. Electron. Agric., (September 2023)Monitoring Vineyard Canopy Management Operations Using UAV-Acquired Photogrammetric Point Clouds., , , , , , , and . Remote. Sens., 12 (14): 2331 (2020)Machine learning paradigms for weed mapping via unmanned aerial vehicles., , , , , and . SSCI, page 1-8. IEEE, (2016)Selecting patterns and features for between- and within- crop-row weed mapping using UAV-imagery., , , , , and . Expert Syst. Appl., (2016)3-D Characterization of Vineyards Using a Novel UAV Imagery-Based OBIA Procedure for Precision Viticulture Applications., , , , , and . Remote. Sens., 10 (4): 584 (2018)Assessing Optimal Flight Parameters for Generating Accurate Multispectral Orthomosaicks by UAV to Support Site-Specific Crop Management., , , , , , and . Remote. Sens., 7 (10): 12793-12814 (2015)A semi-supervised system for weed mapping in sunflower crops using unmanned aerial vehicles and a crop row detection method., , , , , and . Appl. Soft Comput., (2015)Grape Cluster Detection Using UAV Photogrammetric Point Clouds as a Low-Cost Tool for Yield Forecasting in Vineyards., , , , , , , and . Sensors, 21 (9): 3083 (2021)Mobile terrestrial laser scanner vs. UAV photogrammetry to estimate woody crop canopy parameters - Part 2: Comparison for different crops and training systems., , , , , , , , , and . Comput. Electron. Agric., (September 2023)An Experimental Comparison for the Identification of Weeds in Sunflower Crops via Unmanned Aerial Vehicles and Object-Based Analysis., , , , , and . IWANN (1), volume 9094 of Lecture Notes in Computer Science, page 252-262. Springer, (2015)