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A New Approach to Identifying Sorghum Hybrids Using UAV Imagery Using Multispectral Signature and Machine Learning., , , , , , , , , and . Algorithms, 17 (1): 23 (2024)A random forest ranking approach to predict yield in maize with uav-based vegetation spectral indices., , , , , , , , , and 3 other author(s). Comput. Electron. Agric., (2020)Leaf Nitrogen Concentration and Plant Height Prediction for Maize Using UAV-Based Multispectral Imagery and Machine Learning Techniques., , , , , , , , , and 1 other author(s). Remote. Sens., 12 (19): 3237 (2020)Portable-Mechanical-Sampler System for Real-Time Monitoring and Predicting Soybean Quality in the Bulk Transport., , , , , , , and . IEEE Trans. Instrum. Meas., (2022)Changes in Carbon Dioxide Balance Associated with Land Use and Land Cover in Brazilian Legal Amazon Based on Remotely Sensed Imagery., , , , , , , , , and 1 other author(s). Remote. Sens., 15 (11): 2780 (2023)Is the Gridded Data Accurate? Evaluation of Precipitation and Historical Wet and Dry Periods from ERA5 Data for Canadian Prairies., , , , , and . Remote. Sens., 14 (24): 6347 (December 2022)Machine Learning in the Hyperspectral Classification of Glycaspis brimblecombei (Hemiptera Psyllidae) Attack Severity in Eucalyptus., , , , , , , , , and 3 other author(s). Remote. Sens., 15 (24): 5657 (December 2023)Maize Yield Prediction with Machine Learning, Spectral Variables and Irrigation Management., , , , , , , , and . Remote. Sens., 15 (1): 79 (January 2023)Mapping soybean planting area in midwest Brazil with remotely sensed images and phenology-based algorithm using the Google Earth Engine platform., , , , , , , , and . Comput. Electron. Agric., (2020)Machine Learning in the Classification of Soybean Genotypes for Primary Macronutrients' Content Using UAV-Multispectral Sensor., , , , , , , , , and 1 other author(s). Remote. Sens., 15 (5): 1457 (March 2023)