Architecture framework of IoT-based food and farm systems: A multiple case study

Verdouw, C.N.; Sundmaeker, Harald; Tekinerdoğan, Bedir; Conzon, Davide; Montanaro, Teodoro

doi:10.1016/j.compag.2019.104939

Cited by 116 publications

(70 citation statements)

References 20 publications

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“…In addition to RFID, IoT technology is also widely used in the food industry [14]. For example, Verdouw et al [15] developed and applied a framework for the food industry, which is based on the Internet of Things system for modeling. However, these technologies still have some drawbacks.…”

Section: Relate Workmentioning

confidence: 99%

A Novel Visual Analysis Method of Food Safety Risk Traceability Based on Blockchain

Hao

Mao

Zhang

et al. 2020

IJERPH

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Current food traceability systems have a number of problems, such as data being easily tampered with and a lack of effective methods to intuitively analyze the causes of risks. Therefore, a novel method has been proposed that combines blockchain technology with visualization technology, which uses Hyperledger to build an information storage platform. Features such as distribution and tamper-resistance can guarantee the authenticity and validity of data. A data structure model is designed to implement the data storage of the blockchain. The food safety risks of unqualified detection data can be quantitatively analyzed, and a food safety risk assessment model is established according to failure rate and qualification deviation. Risk analysis used visual techniques, such as heat maps, to show the areas where unqualified products appeared, with a migration map and a force-directed graph used to trace these products. Moreover, the food sampling data were used as the experimental data set to test the validity of the method. Instead of difficult-to-understand and highly specialized food data sets, such as elements in food, food sampling data for the entire year of 2016 was used to analyze the risks of food incidents. A case study using aquatic products as an example was explored, where the results showed the risks intuitively. Furthermore, by analyzing the reasons and traceability processes effectively, it can be proven that the proposed method provides a basis to formulate a regulatory strategy for regions with risks.

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Section: Relate Workmentioning

confidence: 99%

A Novel Visual Analysis Method of Food Safety Risk Traceability Based on Blockchain

Hao

Mao

Zhang

et al. 2020

IJERPH

View full text Add to dashboard Cite

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“…The race to achieve a universal and generic system of IoT solutions in order to fulfil all these requirements has become one of the pressing scientific concerns of the last few years [10][11][12]. A software ecosystem, traditionally called as middleware (Bandyopadhyay et al [10]), now baptised as an IoT platform due to its decentralised and mixture pieces, is used to meet all these requirements [13,14].…”

Section: Introductionmentioning

confidence: 99%

An IoT Platform Based on Microservices and Serverless Paradigms for Smart Farming Purposes

Trilles

González‐Pérez

Huerta

2020

Sensors

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Nowadays, the concept of “Everything is connected to Everything” has spread to reach increasingly diverse scenarios, due to the benefits of constantly being able to know, in real-time, the status of your factory, your city, your health or your smallholding. This wide variety of scenarios creates different challenges such as the heterogeneity of IoT devices, support for large numbers of connected devices, reliable and safe systems, energy efficiency and the possibility of using this system by third-parties in other scenarios. A transversal middleware in all IoT solutions is called an IoT platform. the IoT platform is a piece of software that works like a kind of “glue” to combine platforms and orchestrate capabilities that connect devices, users and applications/services in a “cyber-physical” world. In this way, the IoT platform can help solve the challenges listed above. This paper proposes an IoT agnostic architecture, highlighting the role of the IoT platform, within a broader ecosystem of interconnected tools, aiming at increasing scalability, stability, interoperability and reusability. For that purpose, different paradigms of computing will be used, such as microservices architecture and serverless computing. Additionally, a technological proposal of the architecture, called SEnviro Connect, is presented. This proposal is validated in the IoT scenario of smart farming, where five IoT devices (SEnviro nodes) have been deployed to improve wine production. A comprehensive performance evaluation is carried out to guarantee a scalable and stable platform.

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“…The architecture of systems based on IoT and wireless sensor networks is similar to other software architectures or information systems, but with the particularity of remote identification, sensorization, and control of remote objects using devices that embed sensors and actuators [5]. There has been an attempt to standardize the development of IoT-based architectures, but it is still a highly fragmented [6] field, mainly to formalize how to sensor and control objects that provide information, but without success.…”

Section: Introductionmentioning

confidence: 99%

“…As mentioned above, IoT architectures suffer from significant fragmentation [5]. When their use in the agricultural sector is considered, the issue is even more worrying since the threats to the cyberphysical system can affect not only the infrastructure but also people [11].…”

Section: Introductionmentioning

confidence: 99%

Distributed Key Management to Secure IoT Wireless Sensor Networks in Smart-Agro

Hussein

Ramos

Bermejo

2020

Sensors

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With the deepening of the research and development in the field of embedded devices, the paradigm of the Internet of things (IoT) is gaining momentum. Its technology's widespread applications increasing the number of connected devices constantly. IoT is built on sensor networks, which are enabling a new variety of solutions for applications in several fields (health, industry, defense, agrifood and agro sectors, etc.). Wireless communications are indispensable for taking full advantage of sensor networks but implies new requirements in the security and privacy of communications. Security in wireless sensor networks (WSNs) is a major challenge for extending IoT applications, in particular those related to the smart-agro. Moreover, limitations on processing capabilities of sensor nodes, and power consumption have made the encryption techniques devised for conventional networks not feasible. In such scenario, symmetric-key ciphers are preferred for key management in WSN; key distribution is therefore an issue. In this work, we provide a concrete implementation of a novel scalable group distributed key management method and a protocol for securing communications in IoT systems used in the smart agro sector, based on elliptic curve cryptography, to ensure that information exchange between layers of the IoT framework is not affected by sensor faults or intentional attacks. In this sense, each sensor node executes an initial key agreement, which is done through every member's public information in just two rounds and uses some authenticating information that avoids external intrusions. Further rekeying operations require just a single message and provide backward and forward security.

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Architecture framework of IoT-based food and farm systems: A multiple case study

Cited by 116 publications

References 20 publications

A Novel Visual Analysis Method of Food Safety Risk Traceability Based on Blockchain

A Novel Visual Analysis Method of Food Safety Risk Traceability Based on Blockchain

An IoT Platform Based on Microservices and Serverless Paradigms for Smart Farming Purposes

Distributed Key Management to Secure IoT Wireless Sensor Networks in Smart-Agro

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