ASSESSING HYPERSPECTRAL VEGETATION INDICES FOR ESTIMATING LEAF CHLOROPHYLL CONCENTRATION OF SUMMER BARLEY

6 citations as recorded by crossref.

1. High-Throughput Field Phenotyping of Leaves, Leaf Sheaths, Culms and Ears of Spring Barley Cultivars at Anthesis and Dough Ripeness G. Barmeier & U. Schmidhalter https://doi.org/10.3389/fpls.2017.01920
2. Investigation of Leaf Diseases and Estimation of Chlorophyll Concentration in Seven Barley Varieties Using Fluorescence and Hyperspectral Indices K. Yu et al. https://doi.org/10.3390/rs6010064
3. Spatial variability of chlorophyll and nitrogen content of rice from hyperspectral imagery S. Moharana & S. Dutta https://doi.org/10.1016/j.isprsjprs.2016.09.002
4. High-Throughput Field Phenotyping Traits of Grain Yield Formation and Nitrogen Use Efficiency: Optimizing the Selection of Vegetation Indices and Growth Stages L. Prey et al. https://doi.org/10.3389/fpls.2019.01672
5. Chlorophyll, anthocyanin, and gas exchange changes assessed by spectroradiometry in Fragaria chiloensis under salt stress M. Garriga et al. https://doi.org/10.1111/jipb.12193
6. Estimating Biomass of Barley Using Crop Surface Models (CSMs) Derived from UAV-Based RGB Imaging J. Bendig et al. https://doi.org/10.3390/rs61110395