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Remotely Piloted Aircraft and Random Forest in the Evaluation of the Spatial Variability of Foliar Nitrogen in Coffee Crop.

, , , , , , , , , , and . Remote. Sens., 13 (8): 1471 (2021)

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Use of Images Obtained by Remotely Piloted Aircraft and Random Forest for the Detection of Leaf Miner (Leucoptera coffeella) in Newly Planted Coffee Trees., , , , , , and . Remote. Sens., 16 (4): 728 (February 2024)Detecting coffee leaf rust with UAV-based vegetation indices and decision tree machine learning models., , , , , , , and . Comput. Electron. Agric., (2021)Determining the Leaf Area Index and Percentage of Area Covered by Coffee Crops Using UAV RGB Images., , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2020)Digital Terrain Modelling by Remotely Piloted Aircraft: Optimization and Geometric Uncertainties in Precision Coffee Growing Projects., , , , , , and . Remote. Sens., 14 (4): 911 (2022)Application of RGB Images Obtained by UAV in Coffee Farming., , , , , , and . Remote. Sens., 13 (12): 2397 (2021)Remotely Piloted Aircraft and Random Forest in the Evaluation of the Spatial Variability of Foliar Nitrogen in Coffee Crop., , , , , , , , , and 1 other author(s). Remote. Sens., 13 (8): 1471 (2021)