New Developments and Environmental Applications of Drones

Proceedings of FinDrones 2020

Tarmo Lipping, Petri Linna, Nathaniel Narra (Herausgeber)

Buch | Softcover

X, 195 Seiten

2022 | 1st ed. 2022
Springer International Publishing (Verlag)
978-3-030-77862-0 (ISBN)

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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.

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.

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.

Erscheinungsdatum	01.11.2022
Zusatzinfo	X, 195 p. 56 illus., 43 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	326 g
Themenwelt	Naturwissenschaften ► Geowissenschaften ► Geografie / Kartografie
	Technik ► Fahrzeugbau / Schiffbau
	Technik ► Luft- / Raumfahrttechnik
	Technik ► Umwelttechnik / Biotechnologie
Schlagworte	Agricultural Remote Sensing • drones • FinDrones2020 • Forest remote sensing • Remote Sensing • Remote Sensing/Photogrammetry
ISBN-10	3-030-77862-2 / 3030778622
ISBN-13	978-3-030-77862-0 / 9783030778620
Zustand	Neuware