Agricultural traceability model based on IoT and Blockchain: Application in industrial hemp production

Ferrández-Pastor, Francisco-Javier; Mora-Pascual, Jerónimo; Díaz-Lajara, Daniel

doi:10.1016/j.jii.2022.100381

Cited by 40 publications

(25 citation statements)

References 17 publications

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“…Ferrández‐Pastor et al 36 outlines a model for providing tamper‐proof, transparent, and secure traceability in this agricultural sector that strikes a balance between agricultural expert knowledge (user‐centered design), value chain planning (through the implementation of blockchain), and digital technology (Internet of Things protocols). The design simultaneously produces a permission blockchain that takes into account the many players in the value chain and develops services that make use of applications with human‐machine interfaces.…”

Section: Literature Reviewmentioning

confidence: 99%

Reinforcement learning and neuro‐fuzzy GNN‐based vertical handover decision on internet of vehicles

Kumar

Sagar

2023

Concurrency and Computation

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The Internet of Vehicles (IoV) has become a lot of concern for scientific society because of its rising importance in creating an intelligent transportation system. However, the existing systems addressed handover and network selection difficulties, but they did not solve the necessity for frequent handover problems.Hence, in this research, handover decision difficulties are removed by using a novel state-action-reward-state-action reinforcement learning method in which it learns the current policy action to determine whether a handover decision is required in the fast-moving vehicle therefore the handover failure problem is reduced. Moreover, the existing fuzzy rules do not consider non-line-of-sight and the learning capabilities of the neural networks to select the suitable network therefore it creates network selection difficulty. Hence, the network selection difficulties are removed by using a novel fuzzy-based graph neural network in which the fuzzy logic is connected to the graph hierarchical structure to select the right network therefore the efficient and suitable network is selected on the internet of vehicle communication. Moreover, the existing process is to select the routes completely established on the ancient broadcast history of the vehicles and their channel metrics which causes the frequent handover and poor performance of the network. Hence, the routing selection problem is eliminated by using a novel cluster-based routing algorithm in which the vehicle was divided into clusters to select the efficient route of the internet of the vehicle therefore the best routing path is carried out. As a result, the proposed system is improving the quality of the service and reducing the handover failure and delay of the system.

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Section: Literature Reviewmentioning

confidence: 99%

Reinforcement learning and neuro‐fuzzy GNN‐based vertical handover decision on internet of vehicles

Kumar

Sagar

2023

Concurrency and Computation

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“…The IoT has various real-world applications, spanning from consumer, commercial, manufacturing as well as industrial IoT (IIoT) [59], [135]- [148]. IoT applications may be found in a variety of industries, including automotive, telecommunications, and energy [20], [122], [139], [140], [149].…”

Section: Applications and Benefitsmentioning

confidence: 99%

Insights on the internet of things: past, present, and future directions

Sutikno

Thalmann

2022

TELKOMNIKA

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The internet of things (IoT) is rapidly expanding and improving operations in a wide range of real-world applications, from consumer IoT and enterprise IoT to manufacturing and industrial IoT (IIoT). Consumer markets, wearable devices, healthcare, smart buildings, agriculture, and smart cities are just a few examples. This paper discusses the current state of the IoT ecosystem, its primary applications and benefits, important architectural stages, some of the problems and challenges it faces, and its future. This paper explains how an appropriate IoT architecture that saves data, analyzes it, and recommends corrective action improves the process's ground reality. The IoT system architecture is divided into three layers: device, gateway, and platform. This then cascades into the four stages of the IoT architectural layout: sensors and actuators; gateways and data acquisition systems; edge IT data processing; and datacenter and cloud, which use high-end apps to collect data, evaluate it, process it, and provide remedial solutions. This elegant combination provides excellent value in automatic action. In the future, IoT will continue to serve as the foundation for many technologies. Machine learning will become more popular in the coming years as IoT networks take center stage in a variety of industries.

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“…( Ferrández-Pastor et al, 2022;Patel et al, 2022) tablet devices to access real-time agricultural data (soil and crop conditions, irrigation, fertilisation, weeds, or climate). As a result, farmers can act and intervene when necessary, based on valid data, rather than relying on their traditional intuition (Boursianis et al, 2022).…”

Section: A Digital Technology As An Entrance To Digital Transformationmentioning

confidence: 99%

“…Finally, blockchain is a decentralised, replicable, distributed ledger technology that underlies many additional innovations and is secure, traceable, cost-effective, transparent, and fast. Some researchers use blockchain technology in the agricultural sector for supply chain digitisation and traceability, linking it with Radio Frequency Identification or RFID devices (Ferrández-Pastor et al, 2022). Since blockchain is a technology that relies on algorithmic blocks, containing transaction information, connected and validated in chronological order and forming a chain that has permanent, immutable, transparent, and tamper-proof records, it is also widely used in the field of agricultural finance (Patel et al, 2022).…”

Section: A Digital Technology As An Entrance To Digital Transformationmentioning

confidence: 99%

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Digital Transformation in The Agriculture Sector: Exploring The Shifting Role of Extension Workers

2022

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Dunia akan terus berkembang secara digital. Meningkatnya penggunaan teknologi digital secara eksponensial telah mendorong disrupsi, termasuk di sektor pertanian. Kehadiran teknologi digital telah mengubah cara orang berkomunikasi, belajar, dan berinteraksi. Kondisi ini juga menjadi tantangan baru bagi penyuluh pertanian bagaimana menyikapi perubahan masyarakat. Tulisan ini bertujuan (1) untuk menganalisis wawasan tentang bagaimana teknologi digital mentransformasi sektor pertanian Indonesia dan (2) untuk mengeksplorasi pergeseran peran penyuluh pertanian di era digital. Metode pendekatan yang digunakan adalah kualitatif. Kami menggunakan data kualitatif (pengamatan online) yang dikumpulkan di World Wide Web dengan observasi yang tidak mengganggu dan data dari tinjauan pustaka. Hasil penelitian menunjukkan teknologi digital mengubah sektor pertanian dalam dua hal, sistem pangan, dan sistem pengetahuan dan inovasi pertanian. Tulisan ini mencoba menunjukkan bahwa digitalisasi telah mengubah peran penyuluh pertanian. Peran Penyuluh diperbaharui untuk menyesuaikan diri dengan ekosistem digital, seperti informan, konsultan, penasehat, fasilitator, mediator, dan promotor. Serta perluasan peran penyuluh di bidang baru yaitu penyuluh sebagai content creator dan influencer, gatekeeper, translator, sense makers, expert user, big data analyst, artificial intelligence dan digital twin data scientist, pengambil keputusan , pengembang perangkat lunak, dan pembuat gamify. Sementara itu, untuk menjawab dua tantangan besar tersebut,

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Agricultural traceability model based on IoT and Blockchain: Application in industrial hemp production

Cited by 40 publications

References 17 publications

Reinforcement learning and neuro‐fuzzy GNN‐based vertical handover decision on internet of vehicles

Reinforcement learning and neuro‐fuzzy GNN‐based vertical handover decision on internet of vehicles

Insights on the internet of things: past, present, and future directions

Digital Transformation in The Agriculture Sector: Exploring The Shifting Role of Extension Workers

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