Enhancing Smart Agriculture by Implementing Digital Twins: A Comprehensive Review

Sensors, Journal Year: 2023, Volume and Issue: 23(16), P. 7128 - 7128

Published: Aug. 11, 2023

Digital Twins serve as virtual counterparts, replicating the characteristics and functionalities of tangible objects, processes, or systems within digital space, leveraging their capability to simulate forecast real-world behavior. They have found valuable applications in smart farming, facilitating a comprehensive replica farm that encompasses vital aspects such crop cultivation, soil composition, prevailing weather conditions. By amalgamating data from diverse sources, including soil, plants condition, environmental sensor networks, meteorological predictions, high-resolution UAV Satellite imagery, farmers gain access dynamic up-to-date visualization agricultural domains empowering them make well-informed timely choices concerning critical like efficient irrigation plans, optimal fertilization methods, effective pest management strategies, enhancing overall productivity sustainability. This research paper aims present overview contemporary state on twins modelling, precision agriculture, associated technologies, while exploring potential impact practices, addressing challenges limitations privacy concerns, need for high-quality accurate simulations complexity integrating multiple sources. Lastly, explores prospects highlighting avenues future advancement this domain.

Language: Английский

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The Future of Food

Foods, Journal Year: 2024, Volume and Issue: 13(4), P. 506 - 506

Published: Feb. 6, 2024

The global food systems face significant challenges driven by population growth, climate change, geopolitical conflicts, crises, and evolving consumer preferences. Intending to address these challenges, optimizing production, adopting sustainable practices, developing technological advancements are essential while ensuring the safety public acceptance of innovations. This review explores complex aspects future food, encompassing security, climate-resilient digitalized supply chain, alternative protein sources, processing, technology, impact biotechnology, cultural diversity culinary trends, health personalized nutrition, production within circular bioeconomy. article offers a holistic perspective on industry characterized innovation, adaptability, shared commitment system resilience. Achieving sustainable, nutritious, environmentally friendly in involves comprehensive changes various including innovative farming processing technologies, Industry 4.0 applications, as well approaches that redefine how we consume food.

Language: Английский

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Internet of Things and Wireless Sensor Networks for Smart Agriculture Applications: A Survey

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 145813 - 145852

Published: Jan. 1, 2023

The increasing food scarcity necessitates sustainable agriculture achieved through automation to meet the growing demand. Integrating Internet of Things (IoT) and Wireless Sensor Networks (WSNs) is crucial in enhancing production across various agricultural domains, encompassing irrigation, soil moisture monitoring, fertilizer optimization control, early-stage pest crop disease management, energy conservation. application protocols such as ZigBee, WiFi, SigFox, LoRaWAN are commonly employed collect real-time data for monitoring purposes. Embracing advanced technology imperative ensure efficient annual production. Therefore, this study emphasizes a comprehensive, future-oriented approach, delving into IoT-WSNs, wireless network protocols, their applications since 2019. It thoroughly discusses overview IoT WSNs, architectures summarization protocols. Furthermore, addresses recent issues challenges related IoT-WSNs proposes mitigation strategies. provides clear recommendations future, emphasizing integration aiming contribute future development smart systems.

Language: Английский

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The Convergence of Artificial Intelligence and Blockchain: The State of Play and the Road Ahead

Information, Journal Year: 2024, Volume and Issue: 15(5), P. 268 - 268

Published: May 9, 2024

Artificial intelligence (AI) and blockchain technology have emerged as increasingly prevalent influential elements shaping global trends in Information Communications Technology (ICT). Namely, the synergistic combination of AI introduces beneficial, unique features with potential to enhance performance efficiency existing ICT systems. However, presently, confluence these two disruptive technologies remains a rather nascent stage, undergoing continuous exploration study. In this context, work at hand offers insight regarding most significant intersection. Sixteen outstanding, recent articles exploring been systematically selected thoroughly investigated. From them, fourteen key extracted, including data security privacy, encryption, sharing, decentralized intelligent systems, efficiency, automated decision collective making, scalability, system security, transparency, sustainability, device cooperation, mining hardware design. Moreover, drawing upon related literature stemming from major digital databases, we constructed timeline technological convergence comprising three eras: emerging, convergence, application. For era, categorized pertinent into primary groups: manipulation, applicability legacy issues. application elaborate on impact fusion perspective five distinct focus areas, Internet Things applications cybersecurity, finance, energy, smart cities. This multifaceted, but succinct analysis is instrumental delineating pinpointing characteristics inherent their integration. The paper culminates by highlighting prevailing challenges unresolved questions AI-based thereby charting avenues for future scholarly inquiry.

Language: Английский

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Empowerment of Digital Technology for the Resilience of the Logistics Industry: Mechanisms and Paths

Systems, Journal Year: 2024, Volume and Issue: 12(8), P. 278 - 278

Published: July 31, 2024

Digital technology, acting as an engine for industrial development, propels the rapid integration of data elements and swift iteration digital logistics significantly enhancing logistic resilience. Exploring impact technology on resilience helps strengthen latter’s ability to withstand external shocks. Based correlation between industry, this study measured their levels in 275 Chinese prefecture-level cities from 2011 2020, showing that former improved latter, a conclusion which remained valid after robustness tests. The mechanism analysis results showed promoting collaborative agglomeration was important part process, while threshold model found had nonlinear characteristics. heterogeneity test significant resilience-promoting effect eastern northern coastal regions, well middle reaches Yellow Yangtze Rivers. Accordingly, it is necessary accelerate with industry formulate differentiated development strategies. This provides theoretical foundation exploring relationship resilience, policy recommendations.

Language: Английский

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AI-driven ensemble three machine learning to enhance digital marketing strategies in the food delivery business

Intelligent Systems with Applications, Journal Year: 2023, Volume and Issue: 18, P. 200235 - 200235

Published: May 1, 2023

This study focuses on the use of ensemble machine learning (ML) in digital marketing for food delivery business. Artificial intelligence (AI) techniques are used to analyze customer data, identify preferences, and predict behavior provide AI-based recommendations. The method combines outputs decision trees, naïve Bayes, nearest neighbor algorithms generate a single prediction. accuracy matrix plots both tree yielded perfect predictions, with an 100.000% 0.000 error, respectively. Meanwhile, Bayes algorithm had overall 97.175%, 0.028 indicating successful identification correct labels across all classes high level accuracy. majority voting probability success rate greater than 90% can potentially integrate models into this process while utilizing less half randomized blended experience thus reducing irritation. driven three ML is shown successfully improve strategies business by decreasing time costs.

Language: Английский

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Digital twin in power system research and development: Principle, scope, and challenges

Energy Reviews, Journal Year: 2023, Volume and Issue: 2(3), P. 100039 - 100039

Published: July 25, 2023

In order to address the issues that arise in modern power systems, such as system dynamics, stability, control, efficiency, reliability, economy, planning and policy, so on, efforts have been made develop new tools techniques, components, methodologies, scientific innovations a variety of fields. These undertaken these issues. The term "digital twin" (DT) refers one most reliable rapidly developing technologies recently incorporated into applications, platforms, real-time projects. authors this study offered scoping review DT with primary emphasis on systems. It has established underlying notion behind technology, well its operating principle, types, communication channels protocols, standards, all thoroughly examined. addition, possibility integrating other also considered, along potential benefits doing difficulties may arise. Based information gained from current projects, finished research publications, industry insights, critical discussion made.

Language: Английский

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Artificial intelligence applications in finance: a survey

Journal of Management Analytics, Journal Year: 2023, Volume and Issue: 10(4), P. 676 - 692

Published: Aug. 10, 2023

AbstractFinance is in our daily life. We invest, borrow, lend, budget, and save money. Finance also provides guidelines for corporation government spending revenue collection. Traditional statistical solutions such as regression, PCA, CFA have been widely used financial forecasting analysis. With the increasing interest artificial intelligence recent years, this paper reviews Artificial Intelligence (AI) techniques finance domain systematically attempts to identify current AI technologies used, major applications, challenges, trends Finance. It explores AI-related articles IEEE Xplore EI compendex databases. Findings suggest has engaged forecasting, protection, analysis decision-making areas. Financial one of main sub-fields affected by technology. Major technology supervised learning. Deep learning gained popular years. could be address some emerging topics.Keywords: machine learning; intelligencefinance Disclosure statementNo potential conflict was reported author(s).

Language: Английский

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Digital twins for aircraft maintenance and operation: A systematic literature review and an IoT-enabled modular architecture

Internet of Things, Journal Year: 2023, Volume and Issue: 24, P. 100991 - 100991

Published: Nov. 14, 2023

Thanks to the rapid growth of Industry 4.0 domain and innovations brought by Internet Things paradigm, Digital Twins (DT) are increasingly gaining momentum in our society various companies moving towards their adoption many application areas. One them is aerospace sector which has started take advantage innovative services enhance workers' daily duties. Although different works already proposed solutions apply Twin industrial domain, airspace area not yet completely benefited from its advantages. carve out an important role entire aircraft lifecycle management, particular they provide value maintenance process gathering status information for optimizing operations. This article aims comprehensively analyze, applying systematic mapping method, current state art on technology applied operation maintenance. The results give overview about that can bring specific art, highlighting modeling approach used building DT, most extracted common related frequently adopted tools covered subsystems. As a further contribution research community, this work provides comprehensive modular architecture acts as summarizing artifact able serve all analyzed discusses open issues pointing some interesting directions, could lead new future collaborations.

Language: Английский

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Artificial intelligence in supply chain management: enablers and constraints in pre-development, deployment, and post-development stages

Production Planning & Control, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 23

Published: Jan. 11, 2024

This study presents a comprehensive investigation into the AI supply chain journey, combining systematic literature review (SLR) and empirical interviews with experts. The objective is to identify analyze key enablers constraints influencing in pre-development, deployment, post-development stages. research integrates data Technology-Organization-Environment (TOE) framework, revealing interactions between technological, organizational, environmental factors. thematic analysis uncovers six axial themes for pre-development stage one theme deployment stages respectively, providing valuable insights factors successful integration. Moreover, industry-specific are unveiled Airline, Agri-food, Retail, Logistics sectors, emphasizing importance of contextual tailored strategies. contributes existing knowledge by offering practical implications integration chains, highlighting significance managing industry heterogeneity. By identifying understanding constraints, this provides deeper faced during different chains. makes substantial contribution current socio-technical discourse on journey chains deriving eight propositions that offer insights. These delve addressing transforming them achieving enhanced performance. guidance both academic researchers professionals, equipping actionable strategies navigate complexities intricacies integrating technologies chain. embracing these propositions, stakeholders can effectively harness power optimize various aspects chain, leading improved efficiency, agility, competitiveness. Ultimately, advancing offers solutions drive real-world environments.

Language: Английский

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