Swarm Intelligence and Unmanned Systems: The Potentıal Impact of The Principles of Swarm Intelligence and Collective Behaviour in Nature On Unmanned Systems and Autonomous Organizational Structures DOI Creative Commons
Ayşe Meriç Yazıcı, Gökçe Akdemir Ömür, Duysal Aşkun

et al.

Sosyal Mucit Academic Review, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 14, 2024

This paper examines the potential implications of principles swarm intelligence and collective behavior in nature for unmanned systems autonomous organizational structures. Swarm is inspired by natural which individual units interact according to simple rules form a complex organized whole. These can be observed wide range situations, from synchronized flight flocks birds harmonized swimming schools fish. The study emphasizes that have create more flexible, resilient efficient with decentralized control mechanisms decision-making processes. Furthermore, it suggested these approaches find applications many fields, military operations agricultural environmental monitoring, disaster response urban planning. provides detailed analysis discusses how behaviors emulated optimized systems. In this context, impacts on are evaluated terms increasing their adaptability, optimizing energy efficiency maximizing mission success. It also argued contribute making contingencies changing conditions. used provide effective coordination air, land sea vehicles. digitalizing sectors, flexibility businesses increased resource usage creating mechanisms.

Language: Английский

Higher-order sliding mode observer and fractional-order sliding mode control for precise wildfire tracking in heterogeneous multi-agent systems DOI Creative Commons
Ammar Alsinai,

Aasma Zaman,

Azmat Ullah Khan Niazi

et al.

Systems Science & Control Engineering, Journal Year: 2025, Volume and Issue: 13(1)

Published: Feb. 6, 2025

Citations

0
Fusion of DDPG and Particle Swarm Optimization for UAV Path Planning DOI

Tianli Yuan,

Li Tan, Xiaoxian Zhang

et al.

Communications in computer and information science, Journal Year: 2025, Volume and Issue: unknown, P. 324 - 340

Published: Jan. 1, 2025

Language: Английский

Citations

0
Enhancing Multi-Flight Unmanned-Aerial-Vehicle-Based Detection of Wheat Canopy Chlorophyll Content Using Relative Radiometric Correction DOI Creative Commons
Jiale Jiang, Qianyi Zhang,

Shuai Gao

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(9), P. 1557 - 1557

Published: April 27, 2025

Unmanned aerial vehicle (UAV) remote sensing has emerged as a powerful tool for precision agriculture, offering high-resolution crop monitoring capabilities. However, multi-flight UAV missions introduce radiometric inconsistencies that hinder the accuracy of vegetation indices and physiological trait estimation. This study investigates efficacy relative correction in enhancing canopy chlorophyll content (CCC) estimation winter wheat. Dual sensor configurations captured imagery across three experimental sites key wheat phenological stages (the green-up, heading, grain filling stages). Sentinel-2 data served an external reference. The results indicate significantly improved spectral consistency, reducing RMSE values (in bands by >86% 38–96%) correlations with reflectance. predictive CCC models after correction, validation errors decreasing 17.1–45.6% different growth full-season integration yielding 44.3% reduction. These findings confirm critical role optimizing UAV-based estimation, reinforcing its applicability dynamic agricultural monitoring.

Language: Английский

Citations

0
Swarm Intelligence and Unmanned Systems: The Potentıal Impact of The Principles of Swarm Intelligence and Collective Behaviour in Nature On Unmanned Systems and Autonomous Organizational Structures DOI Creative Commons
Ayşe Meriç Yazıcı, Gökçe Akdemir Ömür, Duysal Aşkun

et al.

Sosyal Mucit Academic Review, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 14, 2024

This paper examines the potential implications of principles swarm intelligence and collective behavior in nature for unmanned systems autonomous organizational structures. Swarm is inspired by natural which individual units interact according to simple rules form a complex organized whole. These can be observed wide range situations, from synchronized flight flocks birds harmonized swimming schools fish. The study emphasizes that have create more flexible, resilient efficient with decentralized control mechanisms decision-making processes. Furthermore, it suggested these approaches find applications many fields, military operations agricultural environmental monitoring, disaster response urban planning. provides detailed analysis discusses how behaviors emulated optimized systems. In this context, impacts on are evaluated terms increasing their adaptability, optimizing energy efficiency maximizing mission success. It also argued contribute making contingencies changing conditions. used provide effective coordination air, land sea vehicles. digitalizing sectors, flexibility businesses increased resource usage creating mechanisms.

Language: Английский

Citations

0