A Survey on UAV Computing Platforms: A Hardware Reliability Perspective DOI Creative Commons
Foisal Ahmed, Maksim Jenihhin

Sensors, Journal Year: 2022, Volume and Issue: 22(16), P. 6286 - 6286

Published: Aug. 21, 2022

This study describes the Computing Platforms (CPs) and hardware reliability issues of Unmanned Aerial Vehicles (UAVs), or drones, which recently attracted significant attention in mission safety-critical applications demanding a failure-free operation. While rapid development UAV technologies was reviewed by survey reports focusing on architecture, cost, energy efficiency, communication, civil application aspects, computing platforms’ perspective overlooked. Moreover, due to rising complexity diversity today’s CPs, their is becoming prominent issue up-to-date solutions tailored specifics. The objective this work address gap, aspect. research studies CPs deployed for representative applications, specific fault failure modes, existing approaches assessment enhancement indicates how faults failures occur various system layers UAVs analyzes open challenges. We advocate concept cross-layer model UAVs’ onboard intelligence identify directions future area.

Language: Английский

Drones in agriculture: A review and bibliometric analysis DOI Creative Commons
Abderahman Rejeb, Alireza Abdollahi, Karim Rejeb

et al.

Computers and Electronics in Agriculture, Journal Year: 2022, Volume and Issue: 198, P. 107017 - 107017

Published: May 18, 2022

Drones, also called Unmanned Aerial Vehicles (UAV), have witnessed a remarkable development in recent decades. In agriculture, they changed farming practices by offering farmers substantial cost savings, increased operational efficiency, and better profitability. Over the past decades, topic of agricultural drones has attracted academic attention. We therefore conduct comprehensive review based on bibliometrics to summarize structure existing literature reveal current research trends hotspots. apply bibliometric techniques analyze surrounding assess previous research. Our analysis indicates that remote sensing, precision deep learning, machine Internet Things are critical topics related drones. The co-citation reveals six broad clusters literature. This study is one first attempts drone agriculture suggest future directions.

Language: Английский

Citations

371
Adoption of Unmanned Aerial Vehicle (UAV) imagery in agricultural management: A systematic literature review DOI
Md. Abrar Istiak, M. M. Mahbubul Syeed, Md Shakhawat Hossain

et al.

Ecological Informatics, Journal Year: 2023, Volume and Issue: 78, P. 102305 - 102305

Published: Sept. 14, 2023

Language: Английский

Citations

72
Coverage Path Planning Optimization of Heterogeneous UAVs Group for Precision Agriculture DOI Creative Commons
Ravil I. Mukhamediev, Kirill Yakunin, Margulan Aubakirov

et al.

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 5789 - 5803

Published: Jan. 1, 2023

Precision farming is one of the ways transition to intensive methods agricultural production. The case application unmanned aerial vehicles (UAVs) for solving problems agriculture and animal husbandry among actively studied issues. UAV capable tasks monitoring, fertilizing, herbicides, etc. However, effective use requires solve flight planning, taking into account heterogeneity available attachments problem solved in process overflight. This research investigates planning a group heterogeneous UAVs applied issues coverage, which may arise both course monitoring implementation agrotechnical measures. method coverage path heterogenic based on genetic algorithm proposed; this provides by using moving ground platform are recharged refueled (multi with (mhCPPmp)). allows calculating fly task covering fields different shapes permits selecting optimal subset from set devices; it also 10% reduction cost flyby compared an that does not or platform.

Language: Английский

Citations

52
Robotic arms in precision agriculture: A comprehensive review of the technologies, applications, challenges, and future prospects DOI

Tantan Jin,

Xiongzhe Han

Computers and Electronics in Agriculture, Journal Year: 2024, Volume and Issue: 221, P. 108938 - 108938

Published: April 18, 2024

Language: Английский

Citations

23
Remote Sensing for Agriculture in the Era of Industry 5.0—A Survey DOI Creative Commons
Nancy Victor, Praveen Kumar Reddy Maddikunta, Delphin Raj Kesari Mary

et al.

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Journal Year: 2024, Volume and Issue: 17, P. 5920 - 5945

Published: Jan. 1, 2024

Agriculture can be regarded as the backbone of human civilization. As technology evolved, synergy between agriculture and remote sensing has brought about a paradigm shift, thereby entirely revolutionizing traditional agricultural practices. Nevertheless, adoption technologies in face various challenges terms limited spatial temporal coverage, high cloud cover, low data quality so on. Industry 5.0 marks new era industrial revolution, where humans machines collaborate closely, leveraging their distinct capabilities, enhancing decision making sustainability resilience. This paper provides comprehensive survey on related aspects dealing with practices (I5.0) era. We also elaborately discuss applications pertaining to I5.0- enabled for agriculture. Finally, we several issues integration I5.0 sensing. offers valuable insights into current state, challenges, potential advancements principles agriculture, thus paving way future research, development, implementation strategies this domain.

Language: Английский

Citations

22
Enhancing Hill Farming Efficiency Using Unmanned Agricultural Vehicles: A Comprehensive Review DOI
Mrutyunjay Padhiary,

Laxmi Narayan Sethi,

Avinash Kumar

et al.

Transactions of Indian National Academy of Engineering, Journal Year: 2024, Volume and Issue: 9(2), P. 253 - 268

Published: Feb. 19, 2024

Language: Английский

Citations

18
Advancing horizons in vegetable cultivation: a journey from ageold practices to high-tech greenhouse cultivation—a review DOI Creative Commons
Nazir Ahmed, Baige Zhang,

Lansheng Deng

et al.

Frontiers in Plant Science, Journal Year: 2024, Volume and Issue: 15

Published: April 15, 2024

Vegetable cultivation stands as a pivotal element in the agricultural transformation illustrating complex interplay between technological advancements, evolving environmental perspectives, and growing global demand for food. This comprehensive review delves into broad spectrum of developments modern vegetable practices. Rooted historical traditions, our exploration commences with conventional methods traces progression toward contemporary practices emphasizing critical shifts that have refined techniques outcomes. A significant focus is placed on evolution seed selection quality assessment underlining importance treatments enhancing both germination plant growth. Transitioning from seeds to soil, we investigate transformative journey traditional soil-based adoption soilless cultures utilization sustainable substrates like biochar coir. The also examines controls highlighting use advanced greenhouse technologies artificial intelligence optimizing growth conditions. We underscore increasing sophistication water management strategies irrigation systems intelligent moisture sensing. Additionally, this paper discusses intricate aspects precision fertilization, integrated pest management, expanding influence regulators cultivation. special segment dedicated innovations, such integration drones, robots, state-of-the-art digital monitoring systems, process. While acknowledging these realistically addresses challenges economic considerations involved adopting cutting-edge technologies. In summary, not only provides guide current state but serves forward-looking reference role continuous research anticipation future field.

Language: Английский

Citations

17
A Survey of Indoor and Outdoor UAV-Based Target Tracking Systems: Current Status, Challenges, Technologies, and Future Directions DOI Creative Commons
Mohannad Alhafnawi, Haythem Bany Salameh, Ala’eddin Masadeh

et al.

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 68324 - 68339

Published: Jan. 1, 2023

Due to their distinctive features, unmanned aerial vehicles (UAVs) have been recently exploited support a wide range of applications.The features include low maintenance cost, compact size, and excellent capability maneuvering.In particular, UAVs the potential capabilities different technologies such as Internet-of-things (IoT) devices, sensors, cameras, systems, thus, performing civilian, target tracking, industrial, military applications.Specifically, tracking has configured one most attractive applications UAVs.With this, estimate detect behavior or locate moving stationary item.Accordingly, several research efforts conducted investigate promising in target-tracking missions, including indoor outdoor missions.This paper surveys UAV-based monitoring for environments, where deployment scenarios systems are characterized investigated.Furthermore, we discuss set practical design challenges provide solutions deal with these challenges.Specifically, present recent enabling that might be integrated into UAV machine learning (ML), cloud computing, emerging fifth-generation (5G) technologies.We also demonstrate use-case scenario which ML is used facilitate monitoring.Finally, future directions outlined can help improving efficiency systems.

Language: Английский

Citations

39
A Comparative Study for Control of Quadrotor UAVs DOI Creative Commons
Marco Rinaldi, Stefano Primatesta, Giorgio Guglieri

et al.

Applied Sciences, Journal Year: 2023, Volume and Issue: 13(6), P. 3464 - 3464

Published: March 8, 2023

Modeling and controlling highly nonlinear, multivariable, unstable, coupled underactuated systems are challenging problems to which a unique solution does not exist. control of Unmanned Aerial Vehicles (UAVs) with four rotors fall into that category problems. In this paper, nonlinear quadrotor UAV dynamical model is developed the Newton–Euler method, architecture proposed for 3D trajectory tracking. The controller design decoupled two parts: an inner loop attitude stabilization outer A few methods discussed, implemented compared, considering following approaches: Proportional–Integral–Derivative (PID), Linear–Quadratic Regulator (LQR), Model Predictive Control (MPC), Feedback Linearization (FL) Sliding Mode (SMC). This paper intended serve as guideline work selecting quadcopters’ strategies, both in terms quantitative qualitative considerations. PID LQR controllers designed, exploiting linearized about hovering condition, while MPC, FL SMC directly exploit model, minor simplifications. fast dynamics ensured by SMC-based together its robustness limited estimated command effort make it most promising stabilization. consists three independent controllers: one altitude other two, dynamics’ inversion, entitled computation reference loop. capability controlled closed-loop system executing complex trajectories demonstrated means simulations MATLAB/Simulink®.

Language: Английский

Citations

37
Instance segmentation method for weed detection using UAV imagery in soybean fields DOI Creative Commons

Beibei Xu,

Jiahao Fan,

Jun Chao

et al.

Computers and Electronics in Agriculture, Journal Year: 2023, Volume and Issue: 211, P. 107994 - 107994

Published: June 20, 2023

Language: Английский

Citations

32