Energy Strategy Reviews, Год журнала: 2024, Номер 56, С. 101602 - 101602
Опубликована: Ноя. 1, 2024
Язык: Английский
IEEE Access, Год журнала: 2023, Номер 11, С. 145813 - 145852
Опубликована: Янв. 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.
Язык: Английский
Процитировано
60
Computers and Electronics in Agriculture, Год журнала: 2023, Номер 216, С. 108522 - 108522
Опубликована: Дек. 11, 2023
Язык: Английский
Процитировано
38
Journal of Terramechanics, Год журнала: 2024, Номер 115, С. 100986 - 100986
Опубликована: Май 10, 2024
Язык: Английский
Процитировано
11
IEEE Communications Surveys & Tutorials, Год журнала: 2023, Номер 26(2), С. 1322 - 1385
Опубликована: Дек. 1, 2023
The cloud-edge-terminal collaborative network (CETCN) is considered as a novel paradigm for emerging applications owing to its huge potential in providing low-latency and ultra-reliable computing services. However, achieving such benefits very challenging due the heterogeneous power of terminal devices complex environment faced by CETCN. In particular, high-dimensional dynamic states cause difficulties CETCN make efficient decisions terms task offloading, caching mobility management. To this end, artificial intelligence (AI), especially deep reinforcement learning (DRL) has been proven effective solving sequential decision-making problems various domains, offers promising solution above-mentioned issues several reasons. Firstly, accurate modelling CETCN, which difficult obtain real-world applications, not required DRL-based method. Secondly, DRL can effectively respond tasks through iterative interactions with environment. Thirdly, complexity differences resource supply among different vendors, collaboration between vendors complete tasks. multi-agent (MADRL) methods are tasks, where be jointly completed cloud, edge provided vendors. This survey provides comprehensive overview regarding MADRL context first part depth key concepts mathematical underpinnings both MADRL. Then, we highlight RL algorithms challenges within allocation, addition, extend discussion explore how making inroads into scenarios like intelligent transportation system (ITS), industrial Internet Things (IIoT), smart health digital agriculture. Furthermore, security considerations related application addressed, along an existing standards that pertain intelligence. Finally, list lessons learned evolving field outline future research opportunities critical development We hope will attract more researchers investigate scalable decentralized AI design
Язык: Английский
Процитировано
19
Comprehensive Reviews in Food Science and Food Safety, Год журнала: 2024, Номер 23(6)
Опубликована: Окт. 22, 2024
Abstract Although several food‐related fields have yet to fully grasp the speed and breadth of fourth industrial revolution (also known as Industry 4.0), growing literature from other sectors shows that 5.0 (referring fifth revolution) is already underway. Food 4.0 has been characterized by fusion physical, digital, biological advances in food science technology, whereas future could be seen a more holistic, multidisciplinary, multidimensional approach. This review will focus on identifying potential enabling technologies harnessed shape coming years. We state‐of‐the‐art studies use innovative various agriculture applications over last 5 In addition, opportunities challenges highlighted, directions conclusions drawn. Preliminary evidence suggests outcome an evolutionary process not revolution, often claimed. Our results show regenerative and/or conversational artificial intelligence, Internet Everything, miniaturized nanosensors, 4D printing beyond, cobots advanced drones, edge computing, redactable blockchain, metaverse immersive techniques, cyber‐physical systems, digital twins, sixth‐generation wireless beyond are likely among main driving 5.0. framework, vision, value becoming popular research topics academic fields, agri‐food sector just started embrace some aspects dimensions
Язык: Английский
Процитировано
7
Multimedia Tools and Applications, Год журнала: 2024, Номер unknown
Опубликована: Июль 4, 2024
Язык: Английский
Процитировано
6
IEEE Access, Год журнала: 2024, Номер 12, С. 60986 - 61021
Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
5
Energy Nexus, Год журнала: 2025, Номер unknown, С. 100368 - 100368
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
0
Deleted Journal, Год журнала: 2025, Номер 28(1)
Опубликована: Апрель 15, 2025
Язык: Английский
Процитировано
0
Electronics, Год журнала: 2024, Номер 13(10), С. 1949 - 1949
Опубликована: Май 16, 2024
Natural resources must be administered efficiently to reduce the human footprint and ensure sustainability of planet. Water is one most essential in agriculture. Modern information technologies are being introduced agriculture improve performance agricultural processes while optimizing water usage. In this scenario, artificial intelligence techniques may become a very powerful tool efficiency. The introduction edge/fog/cloud paradigms, already adopted other domains, help organize services involved complex applications. This article proposes combination several modern management hydrological waste. selected (1) fuzzy logic, used for control tasks since it adapts well nonlinear nature processes, (2) long range (LoRa) technology, suitable establishing large distance links among field devices (sensors actuators) process controllers, executed centralized way. presented approach has been validated laboratory by means scheme aimed at achieving an adequate moisture level soil. algorithm, based on can use weather forecast, obtained as cloud service, consumption. For testing purposes, dynamics balance model soil were implemented hardware loop, dSPACE DS1104. Experiments proved viability continuous space state output controller achieved loss reduction 23.1% over 4-day experiment length compared traditional on/off controller. forecasting improved additional 4.07%
Язык: Английский
Процитировано
3