LIGHT-WEIGHT MULTISPECTRAL UAV SENSORS AND THEIR CAPABILITIES FOR PREDICTING GRAIN YIELD AND DETECTING PLANT DISEASES

9 citations as recorded by crossref.

1. Unmanned Aerial Vehicles (UAV) in Precision Agriculture: Applications and Challenges P. Velusamy et al. 10.3390/en15010217
2. Experimental Evaluation and Consistency Comparison of UAV Multispectral Minisensors H. Lu et al. 10.3390/rs12162542
3. Developing a machine learning based cotton yield estimation framework using multi-temporal UAS data A. Ashapure et al. 10.1016/j.isprsjprs.2020.09.015
4. Evaluation of RGB and Multispectral Unmanned Aerial Vehicle (UAV) Imagery for High-Throughput Phenotyping and Yield Prediction in Barley Breeding P. Herzig et al. 10.3390/rs13142670
5. Remote Sensing Satellites for Land Applications: A Review S. Kumar & V. Bhagat 10.21523/gcj1.18020203
6. Spectral Comparison of UAV-Based Hyper and Multispectral Cameras for Precision Viticulture S. Di Gennaro et al. 10.3390/rs14030449
7. Physical stream quality measured by drones and image analysis versus the traditional manual method N. Svane et al. 10.1080/09593330.2020.1824022
8. Automatic Identification and Monitoring of Plant Diseases Using Unmanned Aerial Vehicles: A Review K. Neupane & F. Baysal-Gurel 10.3390/rs13193841
9. Estimation of maize yield and effects of variable-rate nitrogen application using UAV-based RGB imagery M. Zhang et al. 10.1016/j.biosystemseng.2019.11.001