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Crop type classification in Southern Brazil: Integrating remote sensing, crop modeling and machine learning., , , , и . Comput. Electron. Agric., (2022)Monitoring Corn Nitrogen Concentration from Radar (C-SAR), Optical, and Sensor Satellite Data Fusion., , , , , , , и . Remote. Sens., 15 (3): 824 (февраля 2023)On-farm soybean seed protein and oil prediction using satellite data., , , , и . Comput. Electron. Agric., (сентября 2023)Mapping crop rotation by satellite-based data fusion in Southern Brazil., , , , и . Comput. Electron. Agric., (августа 2023)The urgency for investment on local data for advancing food assessments in Africa: A review case study for APSIM crop modeling., , , , , , , , , и . Environ. Model. Softw., (марта 2023)Current Status and Future Opportunities for Grain Protein Prediction Using On- and Off-Combine Sensors: A Synthesis-Analysis of the Literature., , , , и . Remote. Sens., 13 (24): 5027 (2021)Early-Season Stand Count Determination in Corn via Integration of Imagery from Unmanned Aerial Systems (UAS) and Supervised Learning Techniques., , , , , , , , , и . Remote. Sens., 10 (2): 343 (2018)Remote Sensing on Alfalfa as an Approach to Optimize Production Outcomes: A Review of Evidence and Directions for Future Assessments., , , , , , , и . Remote. Sens., 14 (19): 4940 (2022)metrica: an R package to evaluate prediction performance of regression and classification point-forecast models., , , , , , и . J. Open Source Softw., 7 (79): 4655 (ноября 2022)Impact of High-Cadence Earth Observation in Maize Crop Phenology Classification., , , , , , и . Remote. Sens., 14 (3): 469 (2022)