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Artificial Intelligence for the Food Industry
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Artificial Intelligence for the Food Industry

A special issue of Foods (ISSN 2304-8158). This special issue belongs to the section "Food Engineering and Technology".

Deadline for manuscript submissions: 28 February 2025 | Viewed by 3494

Special Issue Editors

Dr. Malik Altaf Hussain

E-Mail Website
Guest Editor
Agriculture and Food Sciences Discipline, School of Science, Western Sydney University, Sydney, Australia
Interests: food innovation; novel foods; alternative protein sources; food nutrition and health; food safety; food security
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Azharul Karim

E-Mail Website
Guest Editor
School of Mechanical, Medical and Process Engineering, Science and Engineering Faculty, Queensland University of Technology, Brisbane, QLD 4001, Australia
Interests: multi-scale and physics-based modelling in drying; renewable energies and sustainable processing; artificial intelligence and advanced modelling in agri-industrial processes; nanofluid solar thermal storage; thermal storage and lean manufacturing; food quality
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The food sector is a large global industry that covers the entire food supply chain, from farm to fork. Major agri-food industry areas include food production, processing, service, retailing, and related industries (i.e., food packaging, delivery service, and marketing). Like many other industries, artificial intelligence (AI) technologies have been widely used in the food sector, with the potential to offer powerful solutions for improving food yield, quality, nutrition, safety, and traceability. AI and big data have become pivotal tools in strengthening food safety, production, and marketing, as well as eliminating food waste. With the continuous evolution of AI technology and big data analytics, the food industry is poised to embrace further changes and developmental opportunities to navigate market demand, optimise supply chains, reduce waste, and improve production efficiency.

Some specific examples of AI, big data, and other technological applications in the food sector include ensuring food provenance and quality traceability, enhancing farm-to-fork transparency, and providing consumers with more reliable product information. Technologies such as expert systems, adaptive neuro-fuzzy inference system (ANFIS) technology, big data, blockchain, and smart sensors are now applied to food classification, production development, marketing, supervision, food quality improvement, and supply chain management, overall improving food safety and quality. This Special Issue invites original research, reviews, and opinion articles on current AI technologies in the food industry, focusing on emerging applications, challenges, and innovative solutions.

Dr. Malik Altaf Hussain
Prof. Dr. Azharul Karim
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Foods is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • food industry
  • food sector
  • food production
  • food processing
  • food quality
  • artificial intelligence
  • big data
  • blockchain
  • traceability
  • supply management

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Published Papers (2 papers)

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Research

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16 pages, 7826 KiB  
Article
Automation and Optimization of Food Process Using CNN and Six-Axis Robotic Arm
by Youngjin Kim and Sangoh Kim
Foods 2024, 13(23), 3826; https://doi.org/10.3390/foods13233826 - 27 Nov 2024
Viewed by 845
Abstract
The Food Process Robot Intelligent System (FPRIS) integrates a 3D-printed six-axis robotic arm with Artificial Intelligence (AI) and Computer Vision (CV) to optimize and automate the coffee roasting process. As an application of FPRIS coffee roasting, this system uses a Convolutional Neural Network [...] Read more.
The Food Process Robot Intelligent System (FPRIS) integrates a 3D-printed six-axis robotic arm with Artificial Intelligence (AI) and Computer Vision (CV) to optimize and automate the coffee roasting process. As an application of FPRIS coffee roasting, this system uses a Convolutional Neural Network (CNN) to classify coffee beans inside the roaster and control the roaster in real time, avoiding obstacles and empty spaces. This study demonstrates FPRIS’s capability to precisely control the Degree of Roasting (DoR) by combining gas and image sensor data to assess coffee bean quality. A comparative analysis between the Preliminary Coffee Sample (PCS) and Validation Coffee Sample (VCS) revealed that increasing roast intensity resulted in consistent trends for both samples, including an increase in weight loss and Gas sensor Initial Difference (GID) and a decrease in Sum of Pixel Grayscale Values (SPGVs). This study underscores the potential of FPRIS to enhance precision and efficiency in coffee roasting. Future studies will expand on these findings by testing FPRIS across various food processes, potentially establishing a universal automation system for the food industry. Full article
(This article belongs to the Special Issue Artificial Intelligence for the Food Industry)
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Review

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53 pages, 2127 KiB  
Review
Technology Development in Online Grocery Shopping—From Shopping Services to Virtual Reality, Metaverse, and Smart Devices: A Review
by Kinga Stecuła, Radosław Wolniak and Barış Aydın
Foods 2024, 13(23), 3959; https://doi.org/10.3390/foods13233959 - 8 Dec 2024
Viewed by 2146
Abstract
This paper presents a review of the technologies and services associated with online grocery shopping. The progress in the field of online grocery shopping has been very rapid in recent years. Hence, there was a need to systematize knowledge about the latest various [...] Read more.
This paper presents a review of the technologies and services associated with online grocery shopping. The progress in the field of online grocery shopping has been very rapid in recent years. Hence, there was a need to systematize knowledge about the latest various solutions used in this topic. The authors searched the internet, focusing on websites of different supermarkets, shops, and other services that offer online shopping, as well as reviewed scientific papers. Based on the collected material, the authors created four thematic parts, which include: (1) supermarket services; (2) dedicated grocery delivery services and farm-to-table; (3) shopping in Virtual Reality and the metaverse; smart devices and (4) AI in food ordering—the last part includes smart devices, such as smart refrigerators, ovens, their functionality, and the services connected with them. The authors refer to 243 sources. The research includes the three following objectives: (1) exploring and presenting the emerging applied ways of online grocery shopping, (2) exploring and presenting the latest technological advances related to the digitalization of grocery shopping, (3) discussing the upcoming technologies, services, and methods in online grocery shopping. This paper provides knowledge about a wide range of solutions offered by both supermarkets and stores (e.g., shopping applications, VR applications, metaverse shopping) and other companies (e.g., deliveries, product tracking), highlighting the numerous functions available thanks to smart devices (e.g., voice control, own shopping lists, control of products, their quantities and expiration dates, management of user preferences, and many more). This paper also discusses social issues related to the presented solutions, such as their influence on consumer behavior, barriers to adoption, and the associated challenges. Full article
(This article belongs to the Special Issue Artificial Intelligence for the Food Industry)
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