New Developments and Environmental Applications of Drones
portes grátis
New Developments and Environmental Applications of Drones
Proceedings of FinDrones 2020
Lipping, Tarmo; Linna, Petri; Narra, Nathaniel
Springer Nature Switzerland AG
10/2022
195
Mole
Inglês
9783030778620
15 a 20 dias
326
Descrição não disponível.
Chapter 1. Unmanned Aircraft Systems and the Nordic Challenges.- Chapter 2. Applying an icing wind tunnel for drone propeller research, validation of new measurement instrument.- Chapter 3. Self-Swarming for Multi-Robot Systems Deployed for Situational Awareness.- Chapter 4. Toward Invisible Drones - An Ultra-HDR Optical Cloaking System.- Chapter 5. Long-Term Autonomy in Forest Environment using Self-Corrective SLAM.- Chapter 6. Future Possibilities and Challenges for UAV-based Imaging Development in Smart Farming.- Chapter 7. Role of Drones in Characterizing Soil Water Content in Open Field Cultivation.- Chapter 8. Ground penetrating radar mounted drones in agriculture.- Chapter 9. A minimalist approach to yield mapping of standing wheat crop with unmanned aerial vehicles.- Chapter 10. Assessment of Crop Yield Prediction Capabilities of CNN using Multisource Data.
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Remote sensing;Drones;FinDrones2020;Agricultural remote sensing;Forest remote sensing;Remote Sensing/Photogrammetry
Chapter 1. Unmanned Aircraft Systems and the Nordic Challenges.- Chapter 2. Applying an icing wind tunnel for drone propeller research, validation of new measurement instrument.- Chapter 3. Self-Swarming for Multi-Robot Systems Deployed for Situational Awareness.- Chapter 4. Toward Invisible Drones - An Ultra-HDR Optical Cloaking System.- Chapter 5. Long-Term Autonomy in Forest Environment using Self-Corrective SLAM.- Chapter 6. Future Possibilities and Challenges for UAV-based Imaging Development in Smart Farming.- Chapter 7. Role of Drones in Characterizing Soil Water Content in Open Field Cultivation.- Chapter 8. Ground penetrating radar mounted drones in agriculture.- Chapter 9. A minimalist approach to yield mapping of standing wheat crop with unmanned aerial vehicles.- Chapter 10. Assessment of Crop Yield Prediction Capabilities of CNN using Multisource Data.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
