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Canopy Fluorescence Sensing for In-Season Maize Nitrogen Status Diagnosis.

, , , , and . Remote. Sens., 13 (24): 5141 (2021)

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Effects of time of bare cultivated soils observation and their roughness on the average diurnal soil albedo approximation by satellite data., , , , and . IGARSS, page 726-729. IEEE, (2012)Simultaneous identification of spring wheat nitrogen and water status using visible and near infrared spectra and Powered Partial Least Squares Regression., and . Comput. Electron. Agric., (2015)Improving Unmanned Aerial Vehicle Remote Sensing-Based Rice Nitrogen Nutrition Index Prediction with Machine Learning., , , , , , , and . Remote Sensing, 12 (2): 215 (2020)Unsupervised clustering of soil spectral curves to obtain their stronger correlation with soil properties., , , , , , , , and . WHISPERS, page 1-4. IEEE, (2010)Developing a Proximal Active Canopy Sensor-based Precision Nitrogen Management Strategy for High-Yielding Rice., , , , , , , and . Remote. Sens., 12 (9): 1440 (2020)Gaussian Process Modeling of In-Season Physiological Parameters of Spring Wheat Based on Airborne Imagery from Two Hyperspectral Cameras and Apparent Soil Electrical Conductivity., , and . Remote. Sens., 14 (23): 5977 (December 2022)Developing an Active Canopy Sensor-Based Integrated Precision Rice Management System for Improving Grain Yield and Quality, Nitrogen Use Efficiency, and Lodging Resistance., , , , , , and . Remote. Sens., 14 (10): 2440 (2022)Canopy Fluorescence Sensing for In-Season Maize Nitrogen Status Diagnosis., , , , and . Remote. Sens., 13 (24): 5141 (2021)Use of clustering with partial least squares regression for predictions based on hyperspectral data., , , , , , , , and . WHISPERS, page 1-4. IEEE, (2014)