ESTIMATING CROP DENSITY FROM MULTI-SPECTRAL UAV IMAGERY IN MAIZE CROP

6 citations as recorded by crossref.

1. UAV-g 2019: Unmanned Aerial Vehicles in Geomatics F. Nex https://doi.org/10.3390/drones3030074
2. Fusion of Multimodal Imaging and 3D Digitization Using Photogrammetry R. Ramm et al. https://doi.org/10.3390/s24072290
3. Remote and Proximal Sensing-Derived Spectral Indices and Biophysical Variables for Spatial Variation Determination in Vineyards N. Darra et al. https://doi.org/10.3390/agronomy11040741
4. Assessing the Influence of UAV Altitude on Extracted Biophysical Parameters of Young Oil Palm R. Avtar et al. https://doi.org/10.3390/rs12183030
5. Integration of RGB-based vegetation index, crop surface model and object-based image analysis approach for sugarcane yield estimation using unmanned aerial vehicle S. K.C. et al. https://doi.org/10.1016/j.compag.2020.105903
6. Drone RGB Images as a Reliable Information Source to Determine Legumes Establishment Success L. Parra et al. https://doi.org/10.3390/drones5030079