Intelligent Environmental Control in Plant Factories: Integrating Sensors, Automation, and AI for Optimal Crop Production

Food and Energy Security, Journal Year: 2025, Volume and Issue: 14(1)

Published: Jan. 1, 2025

ABSTRACT The growing global challenges of environmental degradation and resource scarcity demand innovative agricultural solutions. Intelligent control systems integrating sensors, automation, artificial intelligence (AI) optimize crop production sustainability in vertical farming. This review explores the critical role these technologies monitoring adjusting key parameters, including light, temperature, humidity, nutrient delivery, CO₂ enrichment. use real‐time data from sensor networks to continuously maintain optimal conditions. Sensors measure changes environment, such as light intensity humidity levels. Automation enables tasks be performed without human intervention, ensuring consistent adjustments AI predicts plant responses proactive management strategies this context. also examines how integrate, highlighting successful case studies addressing like energy management, scalability, system harmonization. Looking ahead, AI's potential predictive maintenance emerging trends farming highlight transformative intelligent enhancing efficiency sustainability.

Language: Английский

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Optimizing UAV deployment for maximizing coverage and data rate efficiency using multi-agent deep deterministic policy gradient and Bayesian optimization

Physical Communication, Journal Year: 2025, Volume and Issue: unknown, P. 102621 - 102621

Published: Feb. 1, 2025

Language: Английский

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Key Enabling Technologies for 6G: The Role of UAVs, Terahertz Communication, and Intelligent Reconfigurable Surfaces in Shaping the Future of Wireless Networks

Journal of Sensor and Actuator Networks, Journal Year: 2025, Volume and Issue: 14(2), P. 30 - 30

Published: March 17, 2025

Sixth-generation (6G) wireless networks have the potential to transform global connectivity by supporting ultra-high data rates, ultra-reliable low latency communication (uRLLC), and intelligent, adaptive networking. To realize this vision, 6G must incorporate groundbreaking technologies that enhance network efficiency, spectral utilization, dynamic adaptability. Among them, unmanned aerial vehicles (UAVs), terahertz (THz) communication, intelligent reconfigurable surfaces (IRSs) are three major enablers in redefining architecture performance of next-generation systems. This survey provides a comprehensive review these transformative technologies, exploring their potential, design challenges, integration into future ecosystems. UAV-based flexible, on-demand remote, harsh areas is vital solution for disasters, self-driving, industrial automation. THz taking place 0.1–10 band reveals bandwidth capable rate multi-gigabits per second can avoid spectrum bottlenecks conventional bands. IRS technology based on programmable metasurface allows real-time wavefront control, maximizing signal propagation spectral/energy efficiency complex settings. The work architectural evolution, active current research trends, practical issues applying including contribution creation ultra-connected networks. In addition, it presents open questions, possible answers, directions information academia, industry, policymakers.

Language: Английский

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Secure UAV-Aided Mobile Edge Computing for IoT: A Review

IEEE Access, Journal Year: 2022, Volume and Issue: 10, P. 86353 - 86383

Published: Jan. 1, 2022

As the Internet of Things (IoT) ecosystem evolves, innovative applications with stringent demands respect to latency will emerge. To handle computation-intensive tasks in a timely manner, data offloading Mobile Edge Computing (MEC) servers has been suggested. On other hand, prospective IoT networks are expected include Unmanned Aerial Vehicles (UAVs) enhance coverage and connectivity, while retaining reliable communication links ground nodes urban, suburban, rural terrain. Nevertheless, evolution UAV-aided MEC-enabled presupposes mitigation security threats through implementation efficient robust countermeasures. UAVs inherently have certain limitations terms energy, computational, memory resources, designing lightweight solutions is required. This paper provides an overview detailed presentation use cases application scenarios, where utmost importance. Subsequently, up-to-date research works on for comprehensively presented. this end, adoption information-theoretic techniques that ensure adequate Physical-Layer Security (PLS) discussed along sophisticated approaches based emerging technologies, such as Blockchain Machine Learning (ML). In addition, studies software- hardware-based methods identification authentication network Finally, future perspectives domain, stimulating further work.

Language: Английский

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Resource management in UAV-assisted MEC: state-of-the-art and open challenges

Wireless Networks, Journal Year: 2022, Volume and Issue: 28(7), P. 3305 - 3322

Published: July 8, 2022

Language: Английский

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Building Integrated Photovoltaics 4.0: Digitization of the Photovoltaic Integration in Buildings for a Resilient Infra at Large Scale

Electronics, Journal Year: 2022, Volume and Issue: 11(17), P. 2700 - 2700

Published: Aug. 29, 2022

Building integrated photovoltaic (BIPV) systems have gained a lot of attention in recent years as they support the United Nations’ sustainable development goals renewable energy generation and construction resilient infrastructure. To make BIPV system infra resilient, there is need to adopt digital technologies such internet things (IoT), artificial intelligence (AI), edge computing, unmanned aerial vehicles (UAV), robotics. In this study, current challenges system, rise temperature PV modules, occurrence various faults, accumulation dust particles over module surface, been identified discussed based on previous literature. overcome challenges, significance application integration these are along with proposed architecture. Finally, study discusses vital recommendations for future directions, ML DL image enhancement flaws detection real-time data; computing implement intelligent data analytics; fog 6G assisted IoT network BIPV; UAV automation detection; augmented reality, virtual twins research implementation BIPV.

Language: Английский

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Smart Flood Detection with AI and Blockchain Integration in Saudi Arabia Using Drones

Sensors, Journal Year: 2023, Volume and Issue: 23(11), P. 5148 - 5148

Published: May 28, 2023

Global warming and climate change are responsible for many disasters. Floods pose a serious risk require immediate management strategies optimal response times. Technology can respond in place of humans emergencies by providing information. As one these emerging artificial intelligence (AI) technologies, drones controlled their amended systems unmanned aerial vehicles (UAVs). In this study, we propose secure method flood detection Saudi Arabia using Flood Detection Secure System (FDSS) based on deep active learning (DeepAL) classification model federated to minimize communication costs maximize global accuracy. We use blockchain-based partially homomorphic encryption (PHE) privacy protection stochastic gradient descent (SGD) share solutions. InterPlanetary File (IPFS) addresses issues with limited block storage posed high gradients information transmitted blockchains. addition enhancing security, FDSS prevent malicious users from compromising or altering data. Utilizing images IoT data, train local models that detect monitor floods. A technique is used encrypt each locally trained achieve ciphertext-level aggregation filtering, which ensures the be verified while maintaining privacy. The proposed enabled us estimate flooded areas track rapid changes dam water levels gauge threat. methodology straightforward, easily adaptable, offers recommendations Arabian decision-makers administrators address growing danger flooding. This study concludes discussion its challenges managing floods remote regions blockchain technology.

Language: Английский

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A Survey on Applications of Unmanned Aerial Vehicles Using Machine Learning

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 117582 - 117621

Published: Jan. 1, 2023

Unmanned Aerial Vehicles (UAVs) play an important role in many applications, including health, transport, telecommunications and safe rescue operations. Their adoption can improve the speed precision of applications when compared to traditional solutions based on handwork. The use UAVs brings scientific technological challenges. In this context, Machine Learning (ML) techniques provide several problems concerning civil military applications. An increasing number papers ML context have been published academic journals. work, we present a literature review UAVs, outlining most recurrent areas commonly used UAV results reveal that environment, communication security are among main research topics.

Language: Английский

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Non-Orthogonal Multiple Access Enabled Mobile Edge Computing in 6G Communications: A Systematic Literature Review

Sustainability, Journal Year: 2023, Volume and Issue: 15(9), P. 7315 - 7315

Published: April 27, 2023

Mobile edge computing (MEC) supported by non-orthogonal multiple access (NOMA) has recently gained a lot of interest due to its improved ability lessen power consumption and MEC offload delay. In recent decades, the need for wireless communications increased tremendously. Fifth-generation (5G) will soon be widely used offer much more functionality than fourth generation (4G). Between 2027 2030, an innovative communication paradigm is known as sixth (6G) system projected introduced with full help artificial intelligence (AI). Advanced capacity, higher data rate, lower latency, advanced security, quality service (QoS) 5G systems are few main challenges resolve 5G. The growing rates in networks being met extraordinary technologies such NOMA, Soft Computing (SC), MEC. Owing massive attention NOMA-enabled MEC, there been significant spike number papers published this area, while comprehensive studies classifications still needed. Using preferred reporting items systematic reviews meta-analysis (PRISMA) guidelines, investigation reports literature review (SLR) This survey also evaluates numerous pieces prudently chosen over multi-step procedure meets selection criteria described paper summarizing our review.

Language: Английский

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REVIEWING THE ROLE OF AI IN DRONE TECHNOLOGY AND APPLICATIONS

Computer Science & IT Research Journal, Journal Year: 2024, Volume and Issue: 5(4), P. 741 - 756

Published: April 10, 2024

This comprehensive review delves into the transformative impact of artificial intelligence (AI) on drone technology, examining its pivotal role in revolutionizing various applications. As drones continue to evolve from recreational gadgets indispensable tools across industries, integration AI enhances their capabilities, enabling advanced functionalities and expanding potential use cases. The convergence technology has given rise a myriad applications, transforming industries ranging agriculture surveillance. Machine learning algorithms empower with autonomous navigation allowing them navigate complex environments adapt dynamic scenarios. Computer vision technologies enable perceive analyze visual information, facilitating tasks such as object recognition, tracking, environmental monitoring. These advancements significantly contribute enhanced aerial surveying, precision agriculture, disaster response efforts. In realm AI-equipped aid crop monitoring, disease detection, yield estimation, optimizing resource allocation boosting agricultural productivity. Drones AI-driven capabilities are increasingly employed wildlife conservation, response, providing real-time data for efficient decision-making. Recent trends AI-infused highlight evolution. Edge computing solutions process locally, reducing latency enhancing responsiveness. Reinforcement learn experiences, adapting performance over time. Swarm intelligence, an emerging field leverages coordinated synchronized actions among multiple drones, collaborative tasks. conclusion, this sheds light synergy between unlocked new possibilities response. continues advance, promises redefine future introducing unprecedented efficiencies diverse sectors. Keywords: Role, AI, Drone, Applications, Technology.

Language: Английский

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