22/06/2026
🌱🥣 AI Meets Sustainable Food Innovation by Asst. Prof. Dr. Donlaporn Saetae
Can Artificial Intelligence help transform food-processing by-products into high-value functional foods?
Our latest research introduces a Physics-Augmented Digital Twin framework for optimizing an innovative Okara-Based Greek-Style Yogurt, integrating food engineering, machine learning, rheology, and Industry 4.0 technologies into a single intelligent platform.
🔬 Key Highlights
✅ Sustainable valorization of okara (soybean by-product)
✅ Hybrid Physics + AI Modeling
✅ Gompertz–LSTM Digital Twin Architecture
✅ ES-MDA Real-Time Data Assimilation
✅ DLCA Microstructural Characterization
✅ Multi-Objective Pareto Optimization
🏆 Optimized Performance
• Gel Strength (G′): 886 Pa
• Syneresis: 1.86%
• Overall Liking: 8.46 / 9
• Prediction Accuracy: R² = 0.9928
• Fermentation Condition: 41°C, 12 h
This work demonstrates how Digital Twin technology can provide interpretable, risk-aware, and data-driven process control for next-generation plant-based food manufacturing.
📖 Researchers, students, food technologists, AI scientists, fermentation specialists, and industry professionals are invited to explore the full paper.
📥 Download the paper, learn the methodology, and discover how hybrid Physics-AI systems can be applied to:
• Plant-Based Foods
• Precision Fermentation
• Smart Manufacturing
• Functional Beverages
• Alternative Proteins
• Industry 4.0 Food Systems
• Sustainable Food Processing
We encourage readers to build upon this work, adapt the framework to new food systems, and contribute to the future of intelligent food manufacturing.
🔗 Read, learn, download, and innovate.
👉 https://doi.org/10.1016/j.crfs.2026.101480
💬 Would you try an innovative Okara-Based Greek-Style Yogurt? Let me know below! 👇
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YT: https://youtu.be/3zY8xsU_Dvw
Together, we can transform agricultural by-products into sustainable, high-value foods through science, engineering, and artificial intelligence.