Title : Harnessing artificial intelligence for innovation in food science and technology
Abstract:
The integration of Artificial Intelligence (AI) in food science and technology is reshaping the way we produce, process, and consume food. From smart agriculture to precision food processing, AI offers powerful tools to enhance efficiency, safety, and sustainability across the food value chain. Through advanced data analytics, machine learning, and predictive modelling, AI enables real-time decision-making and optimized operations, which are critical in today’s fast-evolving food industry. In agriculture, AI-driven systems are used for crop monitoring, yield prediction, soil analysis, and pest detection, helping farmers make informed choices to maximize productivity while minimizing environmental impact. In food processing and manufacturing, AI facilitates automation, quality control, and traceability, ensuring consistent product standards and reducing waste. Additionally, AI technologies are being employed to personalize nutrition, develop novel food products, and predict consumer preferences by analysing vast datasets from various sources, including social media and wearable devices.
Moreover, AI plays a pivotal role in ensuring food safety by detecting contaminants, monitoring supply chain integrity, and predicting potential outbreaks. The fusion of AI with other emerging technologies like the Internet of Things (IoT), robotics, and blockchain further amplifies its potential, offering a comprehensive ecosystem for innovation.This interdisciplinary convergence of AI and food science opens up new research and development avenues, paving the way for a resilient and future-ready food system. As we move forward, harnessing the full potential of AI will be key to addressing global challenges related to food security, nutrition, and sustainability.
