Artificial intelligence, big data, and blockchain in food safety

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Qinqin Zhou ◽  
Hao Zhang ◽  
Suya Wang
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Food Safety ◽  
Food Industry ◽  
Daily Lives ◽  
Safety Issues ◽  
Research Areas ◽  
Advanced Technologies ◽  
Future Challenges ◽  
Applications Of Ai

Abstract Food safety plays an essential role in our daily lives, and it becomes serious with the development of worldwide trade. To tackle the food safety issues, many advanced technologies have been developed to monitor the process of the food industry (FI) to ensure food safety, including the process of food production, processing, transporting, storage, and retailing. These technologies are often referred to as artificial intelligence (AI), big data, and blockchain, which have been widely applied in many research areas. In this review, we introduce these technologies and their applications in the food safety domain. Firstly, basic concepts of these technologies are presented. Then, applications for food safety from a data perspective based on these technologies are analyzed. Finally, future challenges of the applications of AI, big data, and blockchain are discussed.

scholarly journals Overview of Fusion Technology in Food Safety Big Data

2021 ◽  
Vol 292 ◽  
pp. 02012
Author(s):  
Yajie Wang ◽  
Bing Yang ◽  
Hong Yang ◽  
Miao Hao ◽  
Chengmei Zhang ◽  
...  
Keyword(s):  
Big Data ◽  
Food Safety ◽  
Mobile Phones ◽  
Early Warning System ◽  
Food Industry ◽  
Warning System ◽  
Unstructured Data ◽  
Fusion Technology ◽  
Safety Issues ◽  
Use Of Social Media

Large amounts of organised and unstructured data from various sources and origins are increasingly being handled by technology. Big data is a term used to describe these technologies, which open up new fields of research and applications that will have an expanding impact on all aspects of our society. Because of its potential to turn massive amounts of data into insights for informed business and operational choices, big data has found uses in a variety of industries. In the food industry, advanced techniques have been used for providing Food Safety. We present an overview of how and to what extent big data is being used in the food safety domain in this study. Mobile phones as food safety detecting devices and the use of social media as an early warning system for food safety issues are just two examples of the new advancements made feasible by big data.

scholarly journals Human Gaze Assisted Artificial Intelligence: A Review

2020 ◽  
Author(s):  
Ruohan Zhang ◽  
Akanksha Saran ◽  
Bo Liu ◽  
Yifeng Zhu ◽  
Sihang Guo ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Language Processing ◽  
Cognitive State ◽  
Data Sets ◽  
Common Goal ◽  
Research Areas ◽  
Future Challenges ◽  
Potential Applications ◽  
High Level ◽  
And Robotics

Human gaze reveals a wealth of information about internal cognitive state. Thus, gaze-related research has significantly increased in computer vision, natural language processing, decision learning, and robotics in recent years. We provide a high-level overview of the research efforts in these fields, including collecting human gaze data sets, modeling gaze behaviors, and utilizing gaze information in various applications, with the goal of enhancing communication between these research areas. We discuss future challenges and potential applications that work towards a common goal of human-centered artificial intelligence.

Hey Siri, tell me a story: Digital storytelling and AI authorship

2020 ◽  
Vol 26 (4) ◽  
pp. 808-823
Author(s):  
Sarah Thorne
Keyword(s):  
Artificial Intelligence ◽  
Language Processing ◽  
News Media ◽  
Future Directions ◽  
Daily Lives ◽  
Short Films ◽  
The Future ◽  
Commercial Applications ◽  
New Applications ◽  
Applications Of Ai

Surveying narrative applications of artificial intelligence in film, games and interactive fiction, this article imagines the future of artificial intelligence (AI) authorship and explores trends that seek to replace human authors with algorithmically generated narrative. While experimental works that draw on text generation and natural language processing have a rich history, this article focuses on commercial applications of AI narrative and looks to future applications of this technology. Video games have incorporated AI and procedural generation for many years, but more recently, new applications of this technology have emerged in other media. Director Oscar Sharp and artist Ross Goodwin, for example, generated significant media buzz about two short films that they produced which were written by their AI screenwriter. It’s No Game (2017), in particular, offers an apt commentary on the possibility of replacing striking screenwriters with AI authors. Increasingly, AI agents and virtual assistants like Siri, Cortana, Alexa and Google Assistant are incorporated into our daily lives. As concerns about their eavesdropping circulate in news media, it is clear that these companions are learning a lot about us, which raises concerns about how our data might be employed in the future. This article explores current applications of AI for storytelling and future directions of this technology to offer insight into issues that have and will continue to arise as AI storytelling advances.

scholarly journals The Signs of Digitalization on Food Safety Issues: A Literature Review Focusing on Traceability

2021 ◽  
Author(s):  
Anna Freund
Keyword(s):  
Food Safety ◽  
Literature Review ◽  
Industry 4.0 ◽  
Food Industry ◽  
Data Transfer ◽  
Research Process ◽  
Point Of View ◽  
Economic Point ◽  
Main Research ◽  
Safety Issues

This study aims to examine the signs of digitalization’s/Industry 4.0’s impact on food safety in form of a literature review. It is intended to awake the interest of both the academic sphere and internal (e.g., managers) and external (e.g., costumers, state) stakeholders of food producers and also processing companies. The main research questions focus on the methodology of tracing and tracking, which both have significant importance in the area of quality assurance especially in the food industry. From an economic point of view, we are now in the age of Industry 4.0, which has a major impact on the whole economy. Industry 4.0 solutions significantly are realized in the automation of data transfer. Excellent food safety conditions can be supported by real-time transmission, analysis, and interpretation of data characterizing products and processes. This study is an introductory part of the literature review of my doctoral research. The research goals include the exploration of Industry 4.0 and practices given by digitalization within different sectors of the food industry. Furthermore, establishing relationships between the measurability of food safety criteria and the toolbox of digitization and regulatory requirements are expected to be the results of the research process. The current study aims to introduce and interpret the basics of the connection between food safety and the toolbox of Industry 4.0. In general, the research may contribute both to the scientific area and the arena of practice.

scholarly journals Critical Food Safety Issues Facing the Food Industry: A Delphi Analysis

2020 ◽  
Author(s):  
Kevan W Lamm ◽  
Nekeisha L. Randall ◽  
Francisco Diez-Gonzalez
Keyword(s):  
Environmental Policy ◽  
Food Safety ◽  
Research Methods ◽  
Comparative Research ◽  
Food Industry ◽  
Food Contamination ◽  
Safety Issues ◽  
Critical Issues ◽  
To Receive ◽  
Delphi Analysis

The topic of food safety continues to receive increased attention and has ramifications on various human, environmental, policy, and economic levels worldwide. By garnering feedback from 30 food industry experts, this study was undertaken to identify the most critical issues facing the food industry in relation to food safety. According to expert opinion and after three rounds of Delphi inquiry, food contamination detection, outbreaks, and prevention along with governmental oversight, education for and communication with consumers and employees, and globalization were identified as the main areas at the forefront of food safety. Delphi and constant comparative research methods are explained and suggestions on how to make meaning from the results to progress in this area are discussed.

scholarly journals Food Safety Management Research Based on Big Data Mining

2020 ◽  
pp. 63-66
Author(s):  
Xiaoyan Yang ◽  
◽  
Hongyou He ◽  
◽  
Keyword(s):  
Data Mining ◽  
Big Data ◽  
Food Safety ◽  
Safety Management ◽  
Management Research ◽  
Safety Issues ◽  
Big Data Mining ◽  
The Stability ◽  
Potential Food ◽  
National Food Security

Food is the most important thing for people. Food safety concerns thousands of families. Due to various types of food and different censoring standards, the whole food safety management system has miscellaneous food information, which is not convenient for food safety management. At any time, food safety problems may cause public panic and affect the stability of domestic food safety. And big data mining with its characteristics of diversity, hierarchy, relevance, can promote the deficiency of food safety management, the basic information of the various types of food to effectively improve the reliability of the food quality, systematic management and analysis of the security situation of monitoring and associated products, actively respond to a potential food safety issues, as the national food security escort.

scholarly journals Perspectives on advanced and basic engineering technologies

2021 ◽  
Vol XXIV (1) ◽  
pp. 83-87
Author(s):  
NUTU Catalin Silviu
Keyword(s):  
Artificial Intelligence ◽  
Virtual Reality ◽  
Big Data ◽  
Computer Games ◽  
Engineering Software ◽  
Advanced Technologies ◽  
Cad Cam ◽  
Game Industry ◽  
Block Chain ◽  
Software Programs

After presenting in the Introduction the goals of the paper, in its second section the paper is presenting and summarizing important features and details about the professional engineering software programs such as CAD, CAM, CIM, CFD, their advantages and downsides and how they have been used and have been helpful until now. In the second section of the paper, the computer games exhibiting the construction’s feature are presented and how they are impacting the today’s children’s lives. In the last section, the paper draws conclusions about the products of the game industry in general, its possible evolution and also about the engineering technologies in particular and brings the software programs in relationship with the nowadays’ advanced technologies: Artificial Intelligence (AI), big data, block chain technology, 3D printing, Virtual Reality (VR) and Internet of Things (IoT).

scholarly journals Applications of Artificial Intelligence and Big Data Analytics in m-Health: A Healthcare System Perspective

2020 ◽  
Vol 2020 ◽  
pp. 1-15 ◽  
Author(s):  
Z. Faizal khan ◽  
Sultan Refa Alotaibi
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Healthcare System ◽  
Data Analytics ◽  
Big Data Analytics ◽  
System Perspective ◽  
Healthcare System Perspective ◽  
Modern Era ◽  
Monitoring Devices ◽  
Applications Of Ai

Mobile health (m-health) is the term of monitoring the health using mobile phones and patient monitoring devices etc. It has been often deemed as the substantial breakthrough in technology in this modern era. Recently, artificial intelligence (AI) and big data analytics have been applied within the m-health for providing an effective healthcare system. Various types of data such as electronic health records (EHRs), medical images, and complicated text which are diversified, poorly interpreted, and extensively unorganized have been used in the modern medical research. This is an important reason for the cause of various unorganized and unstructured datasets due to emergence of mobile applications along with the healthcare systems. In this paper, a systematic review is carried out on application of AI and the big data analytics to improve the m-health system. Various AI-based algorithms and frameworks of big data with respect to the source of data, techniques used, and the area of application are also discussed. This paper explores the applications of AI and big data analytics for providing insights to the users and enabling them to plan, using the resources especially for the specific challenges in m-health, and proposes a model based on the AI and big data analytics for m-health. Findings of this paper will guide the development of techniques using the combination of AI and the big data as source for handling m-health data more effectively.

scholarly journals Value of Mass Media in Food Safety Information Disclosure from the Perspective of Big Data

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Qiaoling Zou ◽  
Jingai Ma ◽  
Tao Chu ◽  
Lei Zou ◽  
Jeannette V. L. Pope ◽  
...  
Keyword(s):  
Big Data ◽  
Food Safety ◽  
Mass Media ◽  
Information Disclosure ◽  
Evolutionary Game ◽  
Safety Information ◽  
Negative Effects ◽  
Data Infrastructure ◽  
Safety Issues ◽  
The Government

The advent of big data infrastructure has promoted the development of media forms and content. Food safety information disclosure (FSID) is an effective solution to regulate food safety issues. The mass media, government regulatory agencies, and food companies jointly participate in the disclosure of food safety information. Due to social responsibilities and common interests, a tripartite game relationship is formed. After an evolutionary game model was established with China as an example, the mass media’s participation in food safety information disclosure can affect the public’s decision-making, and true disclosure can promote the process and effectiveness; however, false disclosure will have adverse effects on all three parties. The application of big data technology doubles the positive and negative effects. Therefore, the government needs to strengthen the supervision of the mass media’s participation, and food companies need to actively provide correct disclosure information. The media should strengthen their management and use big data rationally, formulate corresponding disclosure strategies, and coordinate the three parties to promote food safety information disclosure.

scholarly journals Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A Survey on the State-of-the-Arts

2020 ◽  
Author(s):  
Quoc-Viet Pham ◽  
Dinh C. Nguyen ◽  
Thien Huynh-The ◽  
Won-Joo Hwang ◽  
Pubudu N. Pathirana
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
State Of The Art ◽  
The State ◽  
Daily Lives ◽  
Recent Advances ◽  
The Arts ◽  
The World ◽  
Novel Coronavirus

The very first infected novel coronavirus case (COVID-19) was found in Hubei, China in Dec. 2019. The COVID-19 pandemic has spread over 215 countries and areas in the world, and has significantly affected every aspect of our daily lives. At the time of writing this article, the numbers of infected cases and deaths still increase significantly and have no sign of a well-controlled situation, e.g., as of 14 April 2020, a cumulative total of 1,853,265 (118,854) infected (dead) COVID-19 cases were reported in the world. Motivated by recent advances and applications of artificial intelligence (AI) and big data in various areas, this paper aims at emphasizing their importance in responding to the COVID-19 outbreak and preventing the severe effects of the COVID-19 pandemic. We firstly present an overview of AI and big data, then identify their applications in fighting against COVID-19, next highlight challenges and issues associated with state-of-the-art solutions, and finally come up with recommendations for the communications to effectively control the COVID-19 situation. It is expected that this paper provides researchers and communities with new insights into the ways AI and big data improve the COVID-19 situation, and drives further studies in stopping the COVID-19 outbreak.

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