Internet of Things in food safety: Literature review and a bibliometric analysis

Bouzembrak, Yamine; Klüche, M.; Gavai, Anand; Marvin, H.J.P.

doi:10.1016/j.tifs.2019.11.002

Cited by 241 publications

(139 citation statements)

References 31 publications

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“…A number of solutions have been proposed where IoT technology is used to monitor food safety and control food quality using environmental sensing and smart product tags (Bouzembrak et al, 2019). Some of the proposed solutions utilize temperature measurements and locations provided by IoT devices to monitor the cold chain containing products, such as meat, shellfish, fruit, and vegetables.…”

Section: Food Safety Monitoring and Iotmentioning

confidence: 99%

“…In the food industry, IoT is expected to become a key enabler for delivering enhancements to existing practices and to improve productivity (Kodan et al, 2019). However, the use of IoT in food safety, such as temperature monitoring of perishable foods is still a relatively niche area with the majority of research being conducted in China and very few research studies applied to the European context (Bouzembrak et al, 2019). We argue that monitoring of this type is especially important in those segments of the food supply chain that involve different people and businesses responsible for food handling (we refer to them as agents) and changing physical locations, such as the food delivery process, particularly in contexts where this may also involve diverse modes of transport (e.g., cars, vans, bicycles, walking, etc.).…”

Section: Introductionmentioning

confidence: 99%

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Integrating Internet of Things, Provenance, and Blockchain to Enhance Trust in Last Mile Food Deliveries

Marković

Jacobs

Dryja

et al. 2020

Front. Sustain. Food Syst.

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Section: Food Safety Monitoring and Iotmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Integrating Internet of Things, Provenance, and Blockchain to Enhance Trust in Last Mile Food Deliveries

Marković

Jacobs

Dryja

et al. 2020

Front. Sustain. Food Syst.

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“…The authors highlighted the Higher School of Economics (Russia) scientists studies, prepared in the form of a report [4], scientific manuscripts of ON. Beketova [6], Nguyen Thi Vinh [3], publications of foreign scientists: J.Toth, I. Ferto [7], K. Firley et al [8], P. Jackman et al [9], T. Rudinskaya and E. Kuzmenko E. [10], F. Bader and S. Rahimifard [11], Y. Bouzembrak et al [12] et al Presenting scientific reviews and original results in the field of research on new technologies and innovations in the food industry.…”

Section: Introductionmentioning

confidence: 99%

Food Sector New Technologies and Innovations: Priorities for Vector Development

Belyaev

Donskova

2021

SHS Web Conf.

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The authors consider the engineering and consumer archetypes of food industry enterprises innovative development. Publication activity testifies the increased interest to food sector innovative development; researchers point that the innovation development drivers are the tools of Industry 4.0 and Agriculture 4.0, many of which are already contributing to the transformation of industry in the world community. The main scientific message of this study is that new technologies and innovations in the food sector should be aimed at solving the global problems of hunger and malnutrition, at the production of high quality and safe food, with an increased focus on conscientiousness towards consumers, society and environment. Since it is the food sector, the main food chain formation entity, is responsible for making decisions regarding the level of the product quality, authenticity, naturalness and safety. The authors also defend traditional technologies that can help build a national food system. Research results can serve to identify target areas for innovative development of the food sector in the new economy and can be useful for the business community as an idea of possible investments.

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“…Additionally, with innovations in sensing technology, heterogeneous data can be acquired in real‐time for effective computation 12 . Acquiring data continuously in a complex environment such as restaurants and food hubs, IoT‐fog‐cloud technology has the capability to accumulate both microscopic and macroscopic data segments 13,14 . Moreover, with enhanced data analysis techniques including artificial intelligence, machine, and deep learning, the ideology of smart restaurants can be achieved with maximal efficacy 15,16 .…”

Section: Introductionmentioning

confidence: 99%

Game theory based framework of smart food quality assessment

Bhatia

2020

Trans Emerging Tel Tech

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Internet of Things (IoT) technology backed by fog-cloud computing has conceptualized the notion of Industry 4.0. Motivated from this, smart restaurants presents a novel vision of provisioning effective food quality assessment based on game-theoretic decision-modeling techniques. This research presents an IoT-inspired framework to analyze restaurants and food-hubs for food quality perspective. Specifically, IoT technology is used to acquire ubiquitous data inside restaurant environment that can impact food quality directly and indirectly. This data is analyzed over the fog-cloud computing platform to formulate a quantification measure in terms of probability of food quality using Bayesian modeling technique. In addition to this, food quality assurance index is estimated to present a unifying factor for food quality assessment over temporal scale. Finally, a three-player game-model is presented for food quality-based decision making by the customers, restaurant managers, and monitoring officials. For validation purposes, the proposed model is deployed in four restaurants of Amritsar, India. The comparative analysis was performed with state-of-the-art decision-making modeling techniques, which showed the superiority of the presented technique in terms of temporal efficiency, statistical performance enhancement, correlation analysis, stability, and reliability. Moreover, a mathematical evaluation has been performed to depict the overall performance enhancement for the proposed decision-making.

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Internet of Things in food safety: Literature review and a bibliometric analysis

Cited by 241 publications

References 31 publications

Integrating Internet of Things, Provenance, and Blockchain to Enhance Trust in Last Mile Food Deliveries

Integrating Internet of Things, Provenance, and Blockchain to Enhance Trust in Last Mile Food Deliveries

Food Sector New Technologies and Innovations: Priorities for Vector Development

Game theory based framework of smart food quality assessment

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