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

23 citations as recorded by crossref.

1. Monitoring the Severity of Rubber Tree Infected with Powdery Mildew Based on UAV Multispectral Remote Sensing T. Zeng et al. 10.3390/f14040717
2. Using Remote Sensing Vegetation Indices for the Discrimination and Monitoring of Agricultural Crops: A Critical Review R. Vidican et al. 10.3390/agronomy13123040
3. 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
4. Detection of buried archaeological remains with the combined use of satellite multispectral data and UAV data J. Calleja et al. 10.1016/j.jag.2018.07.023
5. 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
6. Unmanned Aerial Vehicles (UAV) in Precision Agriculture: Applications and Challenges P. Velusamy et al. 10.3390/en15010217
7. UAV Platforms for Data Acquisition and Intervention Practices in Forestry: Towards More Intelligent Applications H. Sun et al. 10.3390/aerospace10030317
8. 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
9. Remote Sensing Satellites for Land Applications: A Review S. Kumar & V. Bhagat 10.21523/gcj1.18020203
10. A review of remote sensing for potato traits characterization in precision agriculture C. Sun et al. 10.3389/fpls.2022.871859
11. Wheat rust disease detection techniques: a technical perspective U. Shafi et al. 10.1007/s41348-022-00575-x
12. Recent Advances in Crop Disease Detection Using UAV and Deep Learning Techniques T. Shahi et al. 10.3390/rs15092450
13. Evaluating the Performance of Airborne and Ground Sensors for Applications in Precision Agriculture: Enhancing the Postprocessing State-of-the-Art Algorithm K. Pavelka et al. 10.3390/s22197693
14. Application of remote monitoring and ground-based sensing in pastoralism S. Oleinik et al. 10.1051/bioconf/20236609007
15. A comprehensive review on recent applications of unmanned aerial vehicle remote sensing with various sensors for high-throughput plant phenotyping L. Feng et al. 10.1016/j.compag.2021.106033
16. Experimental Evaluation and Consistency Comparison of UAV Multispectral Minisensors H. Lu et al. 10.3390/rs12162542
17. Spectral Comparison of UAV-Based Hyper and Multispectral Cameras for Precision Viticulture S. Di Gennaro et al. 10.3390/rs14030449
18. Physical stream quality measured by drones and image analysis versus the traditional manual method N. Svane et al. 10.1080/09593330.2020.1824022
19. Automatic Identification and Monitoring of Plant Diseases Using Unmanned Aerial Vehicles: A Review K. Neupane & F. Baysal-Gurel 10.3390/rs13193841
20. Potato late blight severity monitoring based on the relief-mRmR algorithm with dual-drone cooperation H. Sun et al. 10.1016/j.compag.2023.108438
21. Automated Counting of Tobacco Plants Using Multispectral UAV Data H. Lin et al. 10.3390/agronomy13122861
22. Consumer-grade UAV imagery facilitates semantic segmentation of species-rich savanna tree layers M. Popp & J. Kalwij 10.1038/s41598-023-40989-7
23. Improved Real-Time Semantic Segmentation Network Model for Crop Vision Navigation Line Detection M. Cao et al. 10.3389/fpls.2022.898131