Introduction
Artificial Intelligence (AI) is driving profound changes in the food industry and nutrition in unprecedented ways. This special issue aims to gather cutting-edge research and comprehensive reviews on how AI technology is revolutionizing all aspects of food science and nutrition. The research scope covers the latest applications of advanced computational methods such as machine learning, deep learning, computer vision, and big data analytics in food processing, quality control, food safety, and precision nutrition.
We will focus on AI-driven development of novel foods (such as automated formulation optimization), personalized dietary recommendation systems based on individual metabolic and biological data, intelligent sensory evaluation, and research using predictive models to improve transparency and reduce waste in the food supply chain. This special issue is dedicated to providing a high-level academic platform for interdisciplinary researchers to explore how intelligent technologies can help create a safer, healthier, and more sustainable future food ecosystem.
Keywords
Artificial Intelligence, Machine Learning & Predictive Modeling, Personalized Nutrition, Food Processing Optimization, Food Quality and Safety Monitoring, Smart Sensory Evaluation, Digital Food Supply Chain, Computational Food Development
Sub-topics
- Applications of AI in Food Processing and Manufacturing: Utilizing intelligent algorithms to optimize processing parameters, increase output, and reduce energy consumption.
- Food Safety Assessment Based on Computer Vision and Depth: Applied to real-time defect detection, foodborne pathogen prediction, and contamination early warning systems.
- AI-Driven Precision Nutrition and Health: Utilizing big data and machine learning to analyze multi-omics data (such as gut microbiota and genomes) to generate personalized dietary intervention recommendations.
- The Role of Intelligent Algorithms in New Food Formulation and Sensory Science: Predicting consumer preferences for new flavors and accelerating the R&D cycle of innovative foods such as plant-based and alternative proteins.
- Predictive Microbiology and Shelf Life Modeling: Using AI technology to more accurately predict food spoilage processes and extend shelf life.
- Smart Food Supply Chain and Traceability: Combining AI with the Internet of Things (IoT) to reduce food waste and ensure transparency from farm to table.
