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Assessing Rice Chlorophyll Content with Vegetation Indices from Hyperspectral Data.

, , , , and . CCTA (1), volume 344 of IFIP Advances in Information and Communication Technology, page 296-303. Springer, (2010)

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Integration of multi-resolution data for crop LAI estimation based on continuous wavelet., , , , , , and . IGARSS, page 6665-6668. IEEE, (2012)Hyperspectral Discrimination and Response Characteristics of Stressed Rice Leaves Caused by Rice Leaf Folder., , , , , , , and . CCTA (2), volume 369 of IFIP Advances in Information and Communication Technology, page 528-537. Springer, (2011)New NNI Model in Winter Wheat Based on Hyperspectral Index., , , , , , , and . CCTA (2), volume 546 of IFIP Advances in Information and Communication Technology, page 154-161. Springer, (2017)Improved Estimation of Winter Wheat Aboveground Biomass Using Multiscale Textures Extracted from UAV-Based Digital Images and Hyperspectral Feature Analysis., , , , , , and . Remote. Sens., 13 (4): 581 (2021)Combined Multi-Temporal Optical and Radar Parameters for Estimating LAI and Biomass in Winter Wheat Using HJ and RADARSAR-2 Data., , , , , , , , and . Remote. Sens., 7 (10): 13251-13272 (2015)Estimation of Leaf Nitrogen Content in Rice Using Vegetation Indices and Feature Variable Optimization with Information Fusion of Multiple-Sensor Images from UAV., , , , , , , , , and 3 other author(s). Remote. Sens., 15 (3): 854 (February 2023)Comparison of Different Dimensional Spectral Indices for Estimating Nitrogen Content of Potato Plants over Multiple Growth Periods., , , , , , , , and . Remote. Sens., 15 (3): 602 (February 2023)Winter Wheat Nitrogen Status Estimation Using UAV-Based RGB Imagery and Gaussian Processes Regression., , , , , , , and . Remote. Sens., 12 (22): 3778 (2020)Hyperspectral-Based Estimation of Leaf Nitrogen Content in Corn Using Optimal Selection of Multiple Spectral Variables., , , , , , , , , and . Sensors, 19 (13): 2898 (2019)A method of estimating soil moisture based on the linear decomposition of mixture pixels., , , , , and . Math. Comput. Model., 58 (3-4): 606-613 (2013)