Agriculture 5.0: Cutting-Edge Technologies, Trends, and Challenges

IT Professional, Год журнала: 2024, Номер 26(1), С. 40 - 47

Опубликована: Янв. 1, 2024

In the evolution from Agriculture 2.0 to 5.0, agricultural sector has witnessed transformative changes. 5.0 represents a revolutionary phase, integrating advanced technologies enhance efficiency and sustainability adapted individual field livestock needs. The integration of robotics, extended reality, 6G marks significant leap, enabling real-time monitoring automation in farming practices. Artificial intelligence big data are pivotal offering insights for decision making predictive analytics. Natural language processing plays crucial role facilitating efficient communication processing. transition should also consider societal challenges, terms technology lock-ins need behavior shifts among stakeholders faster adoption customization solutions. This article presents comprehensive description underscoring potential hurdles reshaping future farming.

Язык: Английский

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Unmanned Autonomous Intelligent System in 6G Non-Terrestrial Network

Information, Год журнала: 2024, Номер 15(1), С. 38 - 38

Опубликована: Янв. 11, 2024

Non-terrestrial network (NTN) is a trending topic in the field of communication, as it shows promise for scenarios which terrestrial infrastructure unavailable. Unmanned autonomous intelligent systems (UAISs), physical form artificial intelligence (AI), have gained significant attention from academia and industry. These various applications driving, logistics, area surveillance, medical services. With rapid evolution information communication technology (ICT), 5G beyond-5G enabled numerous through comprehensive utilization advanced NTN intelligence. To meet demands complex tasks remote or communication-challenged areas, there an urgent need reliable, ultra-low latency networks to enable unmanned such localization, navigation, perception, decision-making, motion planning. However, reliable coverage not available, poses challenge applications. The development non-terrestrial (NTNs) has shed new light on that require ubiquitous connections space, air, ground, sea. challenges arise when using systems. Our research examines advancements obstacles academic industry concerning UAIS, supported by aerial vehicles (UAV) other low-altitude platforms. Nevertheless, edge computing cloud are crucial systems, also necessitate distributed computation architectures computationally intensive massive data offloading. This paper presents analysis opportunities UAV NTN, along with NTN-based their A trial case study presented demonstrate application UAIS.

Язык: Английский

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Role of quantum computing in shaping the future of 6 G technology

Information and Software Technology, Год журнала: 2024, Номер 170, С. 107454 - 107454

Опубликована: Март 24, 2024

The emergence of 6 G technology heralds a groundbreaking era in digital connectivity, envisaging universal and seamless links. To address the intricate computational security requirements this revolution, integration quantum computing (QC) into these networks is perceived as promising solution. objective study presents comprehensive investigation potential roles implications QC within context technology. objectives study, firstly, we have conducted literature survey to identify key applications using Secondly, performed interview with industry experts best practices related application Our unfolds two distinct stages: 15 segmented 4 core areas. findings were empirically validated by conducting identified 49 one outcomes research lay solid foundation for understanding both pivotal effective its implementation, thus providing valuable insights academics practitioners.

Язык: Английский

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IoT Solutions with Artificial Intelligence Technologies for Precision Agriculture: Definitions, Applications, Challenges, and Opportunities

Electronics, Год журнала: 2024, Номер 13(10), С. 1894 - 1894

Опубликована: Май 11, 2024

The global agricultural sector confronts significant obstacles such as population growth, climate change, and natural disasters, which negatively impact food production pose a threat to security. In response these challenges, the integration of IoT AI technologies emerges promising solution, facilitating data-driven decision-making, optimizing resource allocation, enhancing monitoring control systems in operations address challenges promote sustainable farming practices. This study examines intersection precision agriculture (PA), aiming provide comprehensive understanding their combined mutually reinforcing relationship. Employing systematic literature review following Preferred Reporting Items for Systematic Reviews Meta-Analyses (PRISMA) 2020 guidelines, we explore synergies transformative potential integrating systems. also aims identify present trends, opportunities utilizing Diverse forms practices are scrutinized discern applications Through critical analysis existing literature, this contributes deeper how can revolutionize PA, resulting improved efficiency, sustainability, productivity sector.

Язык: Английский

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Industry 5.0 in Smart Education: Concepts, Applications, Challenges, Opportunities, and Future Directions

IEEE Access, Год журнала: 2024, Номер 12, С. 81938 - 81967

Опубликована: Янв. 1, 2024

Industry 5.0 is one of the emerging stages industrialization in which humans collaborate with cutting-edge technologies to enhance various workplace processes. The primary objective emphasize meeting needs people and provide enhanced resilience understanding sustainability. enables cooperation such advanced stakeholders education sector ensure efficiency effectiveness teaching-learning process. present study provides an exhaustive review role smart education. At outset, a brief overview scenario its associated challenges presented. This sets stage for establishing need Education 1.0 progressive transition 4.0. Further, motivation integrate 4.0 related enabling that support are discussed. paper extensively description application educational sectors namely medical education, further learning, distance engineering shop floor training. also presents seven case studies highlighting successful implementation versatile regions. Finally, discussed pointing potential future directions research.

Язык: Английский

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Multi IRS‐Aided Low‐Carbon Power Management for Green Communication in 6G Smart Agriculture Using Deep Game Theory

Computational Intelligence, Год журнала: 2025, Номер 41(1)

Опубликована: Янв. 21, 2025

ABSTRACT Power consumption management is vital in achieving sustainable and low‐carbon green communication goals 6G smart agriculture. This research aims to provide a low‐power measurement framework designed specifically for critical data handling agriculture application networks. Deep Q‐learning combined with game theory proposed allow network entities such as Internet of Things (IoT) devices, Intelligent Reflecting Surfaces (IRSs), Base Stations (BS) make intelligent decisions optimal resource allocation energy power consumption. The learning capabilities DQL strategic reasoning theory, hybrid framework, have been developed realize an adaptive routing plan that emphasizes energy‐conscious protocols underestimates the environment. It further enables investigation multi‐IRS performance through several key metrics assessments, reflected consumption, efficiency, Signal‐to‐Noise Ratio (SNR) improvement.

Язык: Английский

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Bi-Level hierarchical ensemble intelligent approach for evaluating Spatio-Temporal Semantic data management systems in IoT-Based Agriculture 5.0

Expert Systems with Applications, Год журнала: 2025, Номер unknown, С. 127083 - 127083

Опубликована: Фев. 1, 2025

Язык: Английский

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Emerging Technologies for Precision Crop Management Towards Agriculture 5.0: A Comprehensive Overview

Agriculture, Год журнала: 2025, Номер 15(6), С. 582 - 582

Опубликована: Март 9, 2025

Agriculture 5.0 (Ag5.0) represents a groundbreaking shift in agricultural practices, addressing the global food security challenge by integrating cutting-edge technologies such as artificial intelligence (AI), machine learning (ML), robotics, and big data analytics. To adopt transition to Ag5.0, this paper comprehensively reviews role of AI, (ML) other emerging overcome current future crop management challenges. Crop has progressed significantly from early methods advanced capabilities marking notable leap precision agriculture. Emerging collaborative robots, 6G, digital twins, Internet Things (IoT), blockchain, cloud computing, quantum are central evolution. The also highlights how modern tools improving way we perceive, analyze, manage growth. Additionally, it explores real-world case studies showcasing application deep monitoring. Innovations smart sensors, AI-based communication systems driving next phase digitalization decision-making. addresses opportunities challenges that come with adopting emphasizing transformative potential these productivity tackling issues. Finally, is agriculture, highlight trends research needs multidisciplinary approaches, regional adaptation, advancements AI robotics. Ag5.0 paradigm towards management, fostering sustainable, data-driven farming optimize while minimizing environmental impact.

Язык: Английский

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IoT-Based Mushroom Cultivation System with Solar Renewable Energy Integration: Assessing the Sustainable Impact of the Yield and Quality

Sustainability, Год журнала: 2023, Номер 15(18), С. 13968 - 13968

Опубликована: Сен. 20, 2023

The conventional method of mushroom cultivation can be labor-intensive and produce limited yields. Due to the humidity temperature in summer season, production is significantly diminished. growth each species depends on consistency care, skill experienced farmers, crucial parameters such as temperature, humidity, irrigation, exposure sunlight. This study aims implement an IoT-enabled system control monitor environmental Indian within proposed innovative framework, compared methods. IoT-based consists hardware components, circuit connections, software, algorithms. confirms that consistent parameters, relative by a dynamic climate promotes superior cultivation. Our findings reveal substantial increase yield quality mushrooms, demonstrating tangible advantages applying approach. Traditional yielded average 4.118 kg, whereas systems produced 5.306 kg. t-test statistic comparing yields has highlighted significance observed differences with p-value 0.0000. research contributions are design demonstrate innovation solar renewable energy, illustrating effect economic market analysis direction environmentally sustainable green agricultural practices. study’s comprehensive perspective provide professionals, policymakers valuable insights regarding future cultivation, particularly reduction carbon emissions energy consumption.

Язык: Английский

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Smart Agriculture and Greenhouse Gas Emission Mitigation: A 6G-IoT Perspective

Electronics, Год журнала: 2024, Номер 13(8), С. 1480 - 1480

Опубликована: Апрель 13, 2024

Smart farming has emerged as a promising approach to address the agriculture industry’s significant contribution greenhouse gas (GHG) emissions. However, effectiveness of current smart practices in mitigating GHG emissions remains matter ongoing debate. This review paper provides an in-depth examination state farming, highlighting limitations existing reducing and introducing innovative strategies that leverage advanced capabilities 6G-enabled IoT (6G-IoT). By enabling precise resource management, facilitating emission source identification mitigation, enhancing reduction techniques, 6G-IoT integration offers transformative solution for managing agriculture. while focuses on technological applications immediate efficiency gains, it also serves crucial component sustainable by providing tools necessary long-term environmental supervision sustainability. As result, this study contributes insights guiding future advancements particularly context 6G-IoT, develop more effective mitigation applications, promoting agricultural future.

Язык: Английский

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