OPPORTUNITIES OF UAVS IN ORCHARD MANAGEMENT

13 citations as recorded by crossref.

1. Thermal Imaging for Plant Stress Detection and Phenotyping M. Pineda et al. https://doi.org/10.3390/rs13010068
2. Orchard management with small unmanned aerial vehicles: a survey of sensing and analysis approaches C. Zhang et al. https://doi.org/10.1007/s11119-021-09813-y
3. Real-Time UAV scheduling under hazardous weather conditions using an integrated fuzzy logic and machine learning framework A. Alkhodre et al. https://doi.org/10.1007/s43926-026-00489-2
4. Orchard monitoring based on unmanned aerial vehicles and image processing by artificial neural networks: a systematic review D. Popescu et al. https://doi.org/10.3389/fpls.2023.1237695
5. A Survey on Robotic Technologies for Forest Firefighting: Applying Drone Swarms to Improve Firefighters’ Efficiency and Safety J. Roldán-Gómez et al. https://doi.org/10.3390/app11010363
6. Web Mapping for Farm Management Information Systems: A Review and Australian Orchard Case Study H. Dhonju et al. https://doi.org/10.3390/agronomy13102563
7. Influence of almond’s canopy-induced shadows on actual evapotranspiration estimation by the TSEB model using sUAS multispectral and thermal imagery M. Duran-Gomez et al. https://doi.org/10.1007/s00271-026-01092-7
8. Feasibility of Mechanical Pollination in Tree Fruit and Nut Crops: A Review A. Eyles et al. https://doi.org/10.3390/agronomy12051113
9. Combining Low-Cost UAV Imagery with Machine Learning Classifiers for Accurate Land Use/Land Cover Mapping S. Detsikas et al. https://doi.org/10.3390/earth5020013
10. Optimization and Evaluation of Sensor Angles for Precise Assessment of Architectural Traits in Peach Trees M. Raman et al. https://doi.org/10.3390/s22124619
11. Data on three-year flowering intensity monitoring in an apple orchard: A collection of RGB images acquired from unmanned aerial vehicles C. Zhang et al. https://doi.org/10.1016/j.dib.2023.109356
12. NeuroJPS-A: Neural Jump Point Search with Adaptive Potential Fields for UAV Path Planning and Obstacle Avoidance in Orchard Environments B. Cui et al. https://doi.org/10.3390/drones10070504
13. Delineation of Management Zones in Hedgerow Almond Orchards Based on Vegetation Indices from UAV Images Validated by LiDAR-Derived Canopy Parameters J. Martínez-Casasnovas et al. https://doi.org/10.3390/agronomy12010102