New Developments and Environmental Applications of Drones

Proceedings of FinDrones 2020
1. Auflage 2022
ISBN: 978-3-030-77862-0
Verlag: Springer International Publishing

Buch, Englisch, 195 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 324 g

This volume presents the conference proceedings from FinDrones2020. The book highlights recent developments in drone technology by experts, academicians, and entrepreneurs for applications in agriculture, forestry, and other industries. Emphasis is placed on contextualizing the conference presentations and content to Finland and the unique challenges typical to this region. The work will be of interest to academicians and professionals involved in remote sensing applications of unmanned aerial vehicles, as well as enthusiasts of drone technological developments.

Zielgruppe

Research

Autoren/Hrsg.

Lipping, Tarmo

Narra, Nathaniel

Linna, Petri

Fachgebiete

• Geowissenschaften Geologie GIS, Geoinformatik
• Technische Wissenschaften Verkehrstechnik | Transportgewerbe Luft- und Raumfahrttechnik, Luftverkehr
• Technische Wissenschaften Technik Allgemein Mess- und Automatisierungstechnik
• Geowissenschaften Umweltwissenschaften Umweltüberwachung, Umweltanalytik, Umweltinformatik
• Naturwissenschaften Chemie Analytische Chemie

Inhaltsverzeichnis

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.

Über Autor(innen)

Dr. Tarmo Lipping is a Professor of Signal Processing in the Faculty of Information Technology and Communication Sciences at Tampere University, Finland. 

Dr. Petri Linna is a Project Manager in the Faculty of Information Technology and Communication Sciences at Tampere University, Finland. 
Dr. Nathaniel Narra is a Postdoctoral Research Fellow in the Faculty of Information Technology and Communication Sciences at Tampere University, Finland.