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DroneAI for Resilient Nature [Kõva köide]

  • Formaat: Hardback, 230 pages, kõrgus x laius: 235x155 mm, 60 Illustrations, color; 7 Illustrations, black and white
  • Ilmumisaeg: 26-May-2026
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 303219007X
  • ISBN-13: 9783032190079
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  • Formaat: Hardback, 230 pages, kõrgus x laius: 235x155 mm, 60 Illustrations, color; 7 Illustrations, black and white
  • Ilmumisaeg: 26-May-2026
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 303219007X
  • ISBN-13: 9783032190079
Teised raamatud teemal:
This proceedings volume supports the European drone and artificial intelligence industries in advancing solutions for the agrifood and natural resources sector. It addresses some of the most critical global challenges: food security, food safety, environmental conservation and sustainable production, water-resource management, and the restoration of biological diversity. The chapters highlight advances in AI acceleration, top-level integration with foundational technologies, the sustainability of edge AI systems, and the requirements for deploying generative AI. A strong emphasis is placed on scientific methodology, ensuring transparency, reproducibility, and the validity of the research presented. The chapters here showcase practical use cases supported by rigorous validation strategies, including comparisons with ground-truth data. The book provides objective and reliable parameters for monitoring ecosystem resilience, particularly in the aftermath of natural disasters.
1 Autonomous Aerial Systems in Societal Transformation: Innovation,
Governance, and Integration.- 2 Autonomous Systems for Sustainable
Development of Urban, Rural, and Remote Regions.- 3 Drone Fertilization
Experiments and Spraying Outlook in Agriculture.- 4 Enhancing Drone
Operations During Wind Weather: Inertial Measurement Unit and Localized
Weather Data.- 5 Persistent Monitoring of Large Dispersed Areas Using Drone
Swarms: Algorithms and Experimental Validation.- 6 BLE for the Cooperative
Awareness of Miniature UAVs: An Experimental Analysis of the Different
Advertising Modes.- 7 Self-organising Drone Swarms for Detection and
Monitoring of Wildfires.- 8 Autonomous Drone Swarm Concept of Operations to
Support Wildfire Management.- 9 Fragmented Implementation of Regulations for
Unmanned Aircraft in Europe?.- 10 The Future of Autonomous Unmanned Aviation:
Bridging the Gap Between Technology and Regulation.- 11 Standardizing Drone
Remote Sensing Data for Agricultural Data Space Ecosystems.- 12 Conceptual
Development of an Autonomous All-Electric Wing-in-Ground Effect Cargo Craft.-
13 Innovative Air Mobility Key Considerations for Rural Logistics
Operations.
MikaPetri Laakkonen, PhD, is Lead/Principal Research Scientist at Oulu University of Applied Sciences and affiliated Full Professor at the University of Haifa. His scholarship bridges the fundamental theory of artificial intelligence, Physics-Inspired AI, data-driven decision-making, intelligent information systems, and humanrobot collaboration, with a sustained record of coordinating EU-funded and national innovation projects. Since 2010, he has served as an independent expert to the European Commissions DG CONNECT on future technologies. In academia, Laakkonen has held visiting roles, notably as visiting professor at Sorbonne University, and he actively reviews for leading journals and conferences in information systems and foresight. He was EditorinChief of the Springer Nature Proceedings volume DroneAI for Resilient Nature (2024).