Applications of Artificial Intelligence in 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: closed (30 April 2024) | Viewed by 48907
Special Issue Editors
Interests: food computing; visual food analysis; food recommendation
Interests: nondestructive detection of food quality and safety; optical sensing and automation for food quality evaluation; advanced chemometrics methods
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With breakthroughs of artificial intelligence (AI) under the fourth industrial revolution, intelligent applications are providing innovative solutions to the food industry. AI is able to support the positive transformation and upgrading of food technologies alongside the digitization, automatization, and intelligence of the food industry in light of its powerful perceiving, reasoning, and decision-making capabilities. Novel applications based on AI are changing all activities in the food industry, ranging from production, processing and packaging, transporting and storing, consuming and disposing, and benefiting all actors in food industry. Combined with technologies such as the Internet of Things (IoT) and Big Data, AI is facilitating the development of new recipes and food, food process simulation and optimization, food quality and safety monitoring, etc. This Special Issue, “Applications of Artificial Intelligence in Food Industry”, focuses on advancing novel methods and applications in the food industry at the crossing of food and AI.
Dr. Weiqing Min
Prof. Dr. Zhiming Guo
Guest Editors
Manuscript Submission Information
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Keywords
- artificial intelligence
- visual food analysis and understanding
- generative AI methods
- recipe generation
- food image/video generation
- knowledge graphs in food industry
- multimodal food learning
- multisensorial food perception and experience
- AI-enabled decision support systems
- intelligent systems for health and well-being
- food quality detection
- food safety monitoring
- the combination of AI, IoT, and Big Data
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