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Crop rows and weeds detection in maize fields applying a computer vision system based on geometry., , and . Comput. Electron. Agric., (2017)A visual questioning answering approach to enhance robot localization in indoor environments., , , and . Frontiers Neurorobotics, (August 2023)Machine-Vision Systems Selection for Agricultural Vehicles: A Guide., , , , , , , , and . J. Imaging, 2 (4): 34 (2016)Automatic detection of crop rows in maize fields with high weeds pressure., , , , , , , and . Expert Syst. Appl., 39 (15): 11889-11897 (2012)Identification of Plant Textures in Agricultural Images by Principal Component Analysis., , , and . HAIS, volume 9648 of Lecture Notes in Computer Science, page 391-401. Springer, (2016)Acquisition of Agronomic Images with Sufficient Quality by Automatic Exposure Time Control and Histogram Matching., , , , , and . ACIVS, volume 8192 of Lecture Notes in Computer Science, page 37-48. Springer, (2013)Editorial: Robotics for smart farms., , and . Frontiers Robotics AI, (2022)Automatic expert system for weeds/crops identification in images from maize fields., , , , , and . Expert Syst. Appl., 40 (1): 75-82 (2013)Portable Multi-Hypothesis Monte Carlo Localization for Mobile Robots., , , , and . ICRA, page 1933-1939. IEEE, (2023)MOCAP4ROS2: An Open Source Framework for Motion Capture Systems in Robotics., , , , and . OpenSym, page 6:1-6:3. ACM, (2022)