13 citations as recorded by crossref.

1. Review of Crop Phenotyping in Field Plot Experiments Using UAV-Mounted Sensors and Algorithms T. Tanaka et al. 10.3390/drones8060212
2. Robust County-Level Corn Yield Estimation Using Ensemble Machine Learning and Multisource Remote Sensing A. Vafaeinejad et al. 10.1109/JSTARS.2025.3585779
3. Independent estimates of net carbon uptake in croplands: UAV-LiDAR and machine learning vs. eddy covariance J. Revenga et al. 10.1016/j.agrformet.2024.110106
4. Diurnal and Seasonal Mapping of Water Deficit Index and Evapotranspiration by an Unmanned Aerial System: A Case Study for Winter Wheat in Denmark V. Antoniuk et al. 10.3390/rs13152998
5. Unmanned Aerial Vehicles in Hydrology and Water Management: Applications, Challenges, and Perspectives B. Acharya et al. 10.1029/2021WR029925
6. Technology and Data Fusion Methods to Enhance Site-Specific Crop Monitoring U. Ahmad et al. 10.3390/agronomy12030555
7. Understanding spatio-temporal complexity of vegetation using drones, what could we improve? J. Müllerová et al. 10.1016/j.jenvman.2024.123656
8. Temporal and spatial satellite data augmentation for deep learning-based rainfall nowcasting Ö. Baydaroğlu & I. Demir 10.2166/hydro.2024.235
9. An Inverse Modeling Approach for Retrieving High-Resolution Surface Fluxes of Greenhouse Gases from Measurements of Their Concentrations in the Atmospheric Boundary Layer I. Mukhartova et al. 10.3390/rs16132502
10. Quantifying carbon budget, crop yields and their responses to environmental variability using the ecosys model for U.S. Midwestern agroecosystems W. Zhou et al. 10.1016/j.agrformet.2021.108521
11. Estimating Fine‐Scale Transpiration From UAV‐Derived Thermal Imagery and Atmospheric Profiles B. Morgan & K. Caylor 10.1029/2023WR035251
12. Biophysical constraints on evapotranspiration partitioning for a conductance-based two source energy balance model J. Bu et al. 10.1016/j.jhydrol.2021.127179
13. Multi-Scale Evaluation of Drone-Based Multispectral Surface Reflectance and Vegetation Indices in Operational Conditions D. Fawcett et al. 10.3390/rs12030514