MEASURING SUNFLOWER NITROGEN STATUS FROM AN UNMANNED AERIAL VEHICLE-BASED SYSTEM AND AN ON THE GROUND DEVICE

8 citations as recorded by crossref.

1. Unmanned aerial systems for photogrammetry and remote sensing: A review I. Colomina & P. Molina https://doi.org/10.1016/j.isprsjprs.2014.02.013
2. Assessment of Nutrient Status of Lowland Irrigated Rice (Oryza sativa L.) using Low Altitude Remote Sensing C. Cuevas et al. https://doi.org/10.48196/017.01.2021.04
3. The features of precision monitoring of sunflower insect pests N. Dolya et al. https://doi.org/10.31548/biologiya2019.03.102
4. Single-plant broccoli growth monitoring using deep learning with UAV imagery C. Lee et al. https://doi.org/10.1016/j.compag.2023.107739
5. Ground versus aerial canopy reflectance of corn: Red‐edge and non‐red edge vegetation indices Z. Sumner et al. https://doi.org/10.1002/agj2.20657
6. Feasibility of satellite and drone images for monitoring soil residue cover Z. kavoosi et al. https://doi.org/10.1016/j.jssas.2018.06.001
7. Cotton growth modeling and assessment using unmanned aircraft system visual-band imagery T. Chu et al. https://doi.org/10.1117/1.JRS.10.036018
8. Diagnosis decline in citrus using multispectral camera-equipped unmanned aerial system E. Seidipoor et al. https://doi.org/10.29252/jgit.6.3.39