A systematic review of IoT technologies and their constituents for smart and sustainable agriculture applications

Scientific African, Journal Year: 2023, Volume and Issue: 19, P. e01577 - e01577

Published: Feb. 4, 2023

Due to the world's rapid population expansion, demand for food is anticipated increase significantly during coming decade. Traditional farming practices cannot meet need crop. Conventional methods use resources like land, water, herbicides, and fertilisers rather inefficiently. When it comes making most effective sustainable of production, automation in agriculture garnering a lot interest. How people machines operate on farms has been changed by integrating Internet Things (IoT) with numerous sensors, controllers, communication protocols. A comprehensive literature review key technologies involved smart agriculture, viz. various standards, IoT based intelligent machinery, were compared presented. These sensors continuously producing significant quantity data agricultural field. transmitted central control unit analysis demands fertiliser, pesticides, etc. The architecture importance analytics IoT, case studies current utilising challenges open issues technology discussed. findings provide support selection specific applications.

Language: Английский

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The Impact of 6G-IoT Technologies on the Development of Agriculture 5.0: A Review

Electronics, Journal Year: 2023, Volume and Issue: 12(12), P. 2651 - 2651

Published: June 13, 2023

Throughout human history, agriculture has undergone a series of progressive transformations based on ever-evolving technologies in an effort to increase productivity and profitability. Over the years, farming methods have evolved significantly, progressing from Agriculture 1.0, which relied primitive tools, 2.0, incorporated machinery advanced practices, subsequently 3.0, emphasized mechanization employed intelligent technology enhance levels. To further automate agricultural while minimizing inputs pollutants, new approach management concepts fourth industrial revolution is being embraced gradually. This referred as “Agriculture 4.0” mainly implemented through use Internet Things (IoT) technologies, enabling remote control sensors actuators efficient collection transfer data. In addition, fueled by such robotics, artificial intelligence, quantum sensing, four-dimensional communication, form smart agriculture, called 5.0,” now emerging. 5.0 can exploit growing 5G network infrastructure basis. However, only 6G-IoT networks will be able offer technological advances that allow full expansion 5.0, inferred relevant scientific literature research. this article, we first introduce scope well key features leveraged much-anticipated communication systems. We then highlight importance influence these developing advancement conclude with discussion future challenges opportunities.

Language: Английский

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Toward a Secure 5G-Enabled Internet of Things: A Survey on Requirements, Privacy, Security, Challenges, and Opportunities

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 13125 - 13145

Published: Jan. 1, 2024

5G and the Internet of Things (IoT) are a potent combination that offers vast IoT infrastructure can support billions connected devices while maintaining reliability, affordability, high-speed connectivity. Nevertheless, integration 5G-enabled has received insufficient attention from security analysts, engineers, researchers, resulting in lack information viable solutions. This study investigates benefits issues associated with IoT, including its privacy concerns as well technology drivers enable various layers. By incorporating into several enhancements have been achieved, enhanced simplicity, practicability, analysis, efficiency, agility, flexibility, accessibility. To achieve full potential for however, researchers must also address many research obstacles, such designing 5G-IoT architecture, managing committed machine interactions, addressing concerns. A promising strategy overcoming these obstacles involves ensuring compatibility operating systems all devices, which will lead to development modern open-source standardization smooth communication across diverse devices. innovation improve by equipping their hardware intelligence recognize, verify, authorize processes predetermined characteristics. provide authorized users autonomy persistent connectivity, enhancing overall user experience. However, requires thorough examination implications difficulties. safer more efficient ecosystem may be established encouraging industry-wide collaboration.

Language: Английский

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A comprehensive review on smart and sustainable agriculture using IoT technologies

Smart Agricultural Technology, Journal Year: 2024, Volume and Issue: 8, P. 100487 - 100487

Published: June 11, 2024

The article provides a comprehensive review of the use Internet Things (IoT) in agriculture, along with its advantages and disadvantages. However, it's important to recognize that IoT holds immense potential for generating new ideas could drive innovations modern agriculture address several challenges faced by farmers today. Applications such as smart irrigation, precision farming, crop soil tracking, greenhouses, supply chain management, livestock monitoring, agricultural drones, pest disease prevention, farm machinery are among areas considered implementation this paper. These innovative solutions have revolutionize farming practices, improve efficiency, reduce resource wastage, ultimately enhance productivity sustainability. analysis examines each application terms utility outlines measures necessary effectiveness. Key considerations include addressing connectivity issues, managing costs, ensuring data security privacy, scaling appropriately, effectively data, promoting awareness adoption tools. Despite these challenges, offers numerous benefits sector. paper underscores importance collaboration farmers, technology companies, academia, policymakers issues fully harness IoT. To achieve goal, ongoing research, development, acceptance IoT-driven essential sustain viable option amidst emerging climate change scarcity.

Language: Английский

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The asymmetric role of natural resources, fintech and green innovations in the Chinese economy. Evidence from QARDL approach

Resources Policy, Journal Year: 2024, Volume and Issue: 90, P. 104731 - 104731

Published: Feb. 7, 2024

Language: Английский

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Integration of data science with the intelligent IoT (IIoT): current challenges and future perspectives

Digital Communications and Networks, Journal Year: 2024, Volume and Issue: unknown

Published: March 1, 2024

The Intelligent Internet of Things (IIoT) involves real-world things that communicate or interact with each other through networking technologies by collecting data from these "things" and using intelligent approaches, such as Artificial Intelligence (AI) machine learning, to make accurate decisions. Data science is the dealing its relationships approaches. Most state-of-the-art focus on topic independently, either IIoT. Therefore, address gap, this article provides a comprehensive survey advances integration IoT system classifying existing IoT-based techniques presenting summary various characteristics. paper analyzes big security privacy features, including network architecture, protection, continuous monitoring data, which face challenges in systems. Extensive insights into security, privacy, are visualized context for IoT. In addition, study reveals current opportunities enhance market development. gap faced comprehensively presented, followed future outlook possible solutions challenges.

Language: Английский

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Technological perspectives of Metaverse for financial service providers

Technological Forecasting and Social Change, Journal Year: 2024, Volume and Issue: 202, P. 123323 - 123323

Published: March 22, 2024

Most banking institutions are inadequately prepared for the ongoing integration of technology, including digitalization financial services, advent Metaverse, and emergence Web 3.0. While other sectors making strides in navigating virtual environments, appear to be trailing. Concurrently, nascent ecosystem Metaverse presents promising opportunities businesses industries, potentially revolutionizing economic models, governance frameworks, ethical paradigms. This study aims contribute emerging discourse on provision services within Metaverse. The paper envisages reality's future landscape using a scenario-based technological foresight approach. research is first attempt map comprehensive both present context foreseeable future. delineates economy its key sectors, enablers. It overviews initial experiences with proposes potential prospects operating study, therefore, serves as foundational reference understanding evolving dynamics realm.

Language: Английский

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Metaverse and Banking Industry – 2023 The Year of Metaverse Adoption

Technium Romanian Journal of Applied Sciences and Technology, Journal Year: 2022, Volume and Issue: 4(10), P. 62 - 73

Published: Nov. 19, 2022

This whitepaper discusses the potential of Metaverse to revolutionize banking industry. It highlights various ways in which banks can leverage improve their operations, including through use NFTs, blockchain technology, and smart contracts. The paper is aimed explore possibilities Banking Industry understand its practical implementation radius. navigates topics from definition business aspects financial services. Explores opportunities customer communication domain, cross-border transactions, mortgages, digital assets, green loans, achieving carbon net zero Metaverse. role Innovation Leaders discussed detail assisting readers appreciate value innovation today’s rapidly changing technology times. argues that must take a proactive driving adoption Metaverse, support circular economy, reduce waste by enabling web3.0 sector.

Language: Английский

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Exploring the antecedent factors of continuous intention to use mobile money: insights from emerging markets

Digital Policy Regulation and Governance, Journal Year: 2024, Volume and Issue: unknown

Published: July 23, 2024

Purpose The purpose of this study is to examine the factors that may have an influence on continuous intention use mobile money as one Financial Technology (FinTech) products beyond COVID-19 pandemic lockdown period. Design/methodology/approach This has empirically tested expanded post-acceptance model (Extend-PAM) and expectation-confirmation (ECM) explain adoption in Jordan. Data collected were analyzed through partial least squares–structural equation modeling (PLS-SEM). Findings results mainly showed quality administrative services trust significantly impact confirmation perceived usefulness. In addition, security knowledge FinTech users’ Also, usefulness satisfaction intention. Significant relationships noted among confirmation, usefulness, money. Originality/value paper integrates two key theories: post-adoption behavior Therefore, attempts fill a literature gap by examining antecedent post-consumption stage.

Language: Английский

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AI in credit scoring: A comprehensive review of models and predictive analytics

Global Journal of Engineering and Technology Advances, Journal Year: 2024, Volume and Issue: 18(2), P. 118 - 129

Published: Feb. 20, 2024

This review provides a succinct overview of the comprehensive exploring integration Artificial Intelligence (AI) in credit scoring. The analysis delves into diverse AI models and predictive analytics shaping contemporary landscape assessment. begins by examining historical context scoring progresses through transformative impact on traditional assessment methodologies. It scrutinizes various employed scoring, ranging from machine learning algorithms to advanced analytics. Emphasis is placed elucidating strengths limitations each model, considering factors such as interpretability, accuracy, scalability. evolution discussed, emphasizing transition rule-based systems sophisticated AI-driven approaches. alternative data sources, social media unconventional financial indicators, explored, showcasing expanding scope capturing more holistic view an individual's creditworthiness. Review underscores significance outlining nuanced techniques used forecast risk. elucidates role explainable AI, addressing need for transparency complex models, especially regulatory compliance consumer trust. Furthermore, highlights real-world implications discussing its inclusion, risk management, decision-making processes. ethical considerations potential biases associated with are shedding light importance fairness responsible practices industry. In conclusion, this navigates intricate offering understanding that underpin modern synthesis perspectives, model intricacies, makes essential resource practitioners, researchers, policymakers ever-evolving domain evaluation.

Language: Английский

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