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Discriminating Crop, Weeds and Soil Surface with a Terrestrial LIDAR Sensor.

, , , , , , , , , и . Sensors, 13 (11): 14662-14675 (2013)

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Humberto Jorge José

Nadine José Gonzalez

José Baena

José Teixeira

José Izquierdo

 

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Three-Dimensional Modeling of Weed Plants Using Low-Cost Photogrammetry., , , , и . Sensors, 18 (4): 1077 (2018)A Novel Approach for Weed Type Classification Based on Shape Descriptors and a Fuzzy Decision-Making Method., , и . Sensors, 14 (8): 15304-15324 (2014)Mapping tillage direction and contour farming by object-based analysis of UAV images., , , , и . Comput. Electron. Agric., (2021)A New Combined Strategy for Discrimination between Types of Weed., , и . ROBOT (1), том 252 из Advances in Intelligent Systems and Computing, стр. 469-480. Springer, (2013)Multi-path planning based on a NSGA-II for a fleet of robots to work on agricultural tasks., , , , и . IEEE Congress on Evolutionary Computation, стр. 1-8. IEEE, (2012)Using depth cameras to extract structural parameters to assess the growth state and yield of cauliflower crops., , , и . Comput. Electron. Agric., (2016)An Approach to the Use of Depth Cameras for Weed Volume Estimation., , , и . Sensors, 16 (7): 972 (2016)Influence of Wind Speed on RGB-D Images in Tree Plantations., , , , , и . Sensors, 17 (4): 914 (2017)Discriminating Crop, Weeds and Soil Surface with a Terrestrial LIDAR Sensor., , , , , , , , , и . Sensors, 13 (11): 14662-14675 (2013)Accuracy and Feasibility of Optoelectronic Sensors for Weed Mapping in Wide Row Crops., , , и . Sensors, 11 (3): 2304-2318 (2011)