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Improved Estimation of Leaf Chlorophyll Content from Non-Noon Reflectance Spectra of Wheat Canopies by Avoiding the Effect of Soil Background.

, , , , , , , and . Agro-Geoinformatics, page 1-4. IEEE, (2018)

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Upper, Middle and Lower Region Learning for Facial Action Unit Detection.. CoRR, (2020)Improved Estimation of Leaf Chlorophyll Content from Non-Noon Reflectance Spectra of Wheat Canopies by Avoiding the Effect of Soil Background., , , , , , , and . Agro-Geoinformatics, page 1-4. IEEE, (2018)A newly developed method to extract the optimal hyperspectral feature for monitoring leaf biomass in wheat., , , , , , , , and . Comput. Electron. Agric., (2019)Evaluation of Diverse Convolutional Neural Networks and Training Strategies for Wheat Leaf Disease Identification with Field-Acquired Photographs., , , , , , , , and . Remote. Sens., 14 (14): 3446 (2022)MACA: A Relative Radiometric Correction Method for Multiflight Unmanned Aerial Vehicle Images Based on Concurrent Satellite Imagery., , , , , , , , and . IEEE Trans. Geosci. Remote. Sens., (2022)Evaluation of Aboveground Nitrogen Content of Winter Wheat Using Digital Imagery of Unmanned Aerial Vehicles., , , , , , , , and . Sensors, 19 (20): 4416 (2019)Assessing the Sensitivity of Semiempirical Models to Spectral Data Quality and Sensor Settings When Estimating Leaf Chlorophyll Content., , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2024)Estimation of Crop Yield From Combined Optical and SAR Imagery Using Gaussian Kernel Regression., , , , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2021)Annual 30 m winter wheat yield mapping in the Huang-Huai-Hai plain using crop growth model and long-term satellite images., , , , , , , and . Comput. Electron. Agric., (November 2023)Estimating leaf nitrogen and chlorophyll content in wheat by correcting canopy structure effect through multi-angular remote sensing., , , , , , , , , and 1 other author(s). Comput. Electron. Agric., (May 2023)