AI in Food Production: SDSN Kuwait and GUST Highlight the Role of AI in Sustainable Food Systems
On February 10, 2026, the UN Sustainable Development Solution Network’s Kuwait Network (SDSN Kuwait), in collaboration with the College of Engineering and Architecture (CEA) at the Gulf University for Science and Technology (GUST), hosted the seminar “AI in Food Production: Opportunities and Challenges,” exploring how artificial intelligence (AI) can transform modern food systems. The seminar, delivered by the University of Leeds’ Prof. Nik Watson, brought together students and faculty members interested in the intersection of technology, sustainability, and food production.
During the seminar, Prof. Watson discussed how advances in AI are creating new opportunities to build healthier, more sustainable, and more resilient food systems. His presentation focused on the use of advanced sensing technologies, machine learning algorithms, optimization tools, and digital integration across food production processes. Together, these technologies allow researchers and industry professionals to monitor food systems more precisely, improve production efficiency, and accelerate innovation in the development of new food products.
A key theme of the seminar was how AI can help achieve the Sustainable Development Goals (SDGs), particularly in the areas of food security and responsible production.
Advancing Zero Hunger (SDG 2)
Prof. Watson highlighted how AI can play a major role in strengthening global food security. By integrating sensors and machine learning into food production systems, researchers can better understand production conditions, predict potential disruptions, and optimize processes in real time. This allows producers to increase productivity while maintaining quality and safety standards.
The seminar also explored how AI is supporting the development of alternative proteins and innovative food products that may help meet the growing global demand for nutritious and sustainable food. These innovations can help diversify food sources while reducing reliance on resource-intensive agricultural systems. By enhancing resilience across supply chains and production processes, AI-driven technologies can foster more stable and secure food systems.
Promoting Responsible Consumption and Production (SDG 12)
AI can also help address inefficiencies within food manufacturing and supply chains. Machine learning and digital monitoring systems allow producers to detect problems early, optimize processing conditions, and reduce waste throughout production.
For example, AI-based optimization can improve water usage, reduce chemical inputs, and enhance energy efficiency in food manufacturing systems. These improvements are particularly important in an industry that relies heavily on natural resources. By minimizing waste and maximizing efficiency, AI can support more responsible production and consumption patterns.
Reducing food loss across the supply chain was another key focus of the seminar. Advanced monitoring and predictive systems can help producers identify quality issues earlier and better manage storage and processing conditions, thereby preventing unnecessary losses.
AI as an Enabler of Sustainable Food Innovation
Beyond improving existing production processes, the seminar emphasized how AI is accelerating innovation across the food sector. Integrating digital tools into research and industrial production enables faster experimentation, improved data analysis, and more efficient product development.
By combining sensing technologies, machine learning, and optimization methods, researchers can design and test new food formulations, production techniques, and processing methods with greater speed and precision. This digital transformation has the potential to reshape food manufacturing and help the industry respond more effectively to environmental, economic, and nutritional challenges.
Engaging Students and Researchers in Sustainable Food Systems
The seminar also aimed to encourage students and faculty to think critically about the role of emerging technologies in addressing global challenges. For many participants, the discussion demonstrated how engineering, data science, and digital technologies can directly contribute to building more sustainable food systems.
By connecting artificial intelligence research to real-world challenges in food production, the event underscored the importance of interdisciplinary collaboration between engineers, scientists, and sustainability experts.
Looking Ahead
As global food systems face increasing pressures from population growth, climate change, and resource constraints, technological innovation will be essential to ensuring sustainable and resilient food production.
AI is emerging as a powerful tool to optimize production processes, reduce waste, and accelerate the development of new, sustainable food products. However, realizing these benefits will require continued collaboration between universities, researchers, and industry.
Through initiatives such as this seminar, SDSN Kuwait and GUST continue to promote dialogue and knowledge exchange on how emerging technologies can support sustainable development and help achieve the SDGs.
Dr. Juliano Katrib is an Associate Professor, Head of the Electrical & Computer Engineering Department, CEA, GUST, and Dr. Fida Karam is a Manager for SDSN Kuwait.
