Deep Tech encompasses technologies such as AI, robotics or biotechnology, which significantly change the processes and the products, for instance through the development of plant-based meat alternatives, which imitate the taste and texture of animal-based meat.
Driving technologies in the food industry
Whether in agriculture, production or along the supply chain: The implementation of AI is a decisive factor, when it comes down to the future of food and food security. Resources can be more efficiently used, risks detected earlier and the consumers can be supplied more individually with the aid of precise analyses, automation and data-based decision-making processes. AI & Deep Tech are thus accelerating the transformation of the whole industry. The fields of application range from robotics in smart farming, automated quality controls in production, through to digital food platforms that provide personalised recommendations.
AI & Deep Tech are radically changing the food industry and are thus focal themes on the Anuga HORIZON Stage. More precise forecasts reduce the costs and waste and automated quality controls increase the food security, new markets are tapped into due to the personalisation. At the same time, data protection, a higher energy requirement for calculation processes and regulatory issues pose major challenges. Companies not only have to invest in technology, they also have to take ethical and legal standards into account to sustainably position themselves on the market.
FAQ: AI & Deep Tech
The food production is optimised, less raw materials are wasted and sustainability promoted through automation, AI-supported forecasts and a more efficient use of resources.
The opportunities of AI in the food industry lie in more efficient processes, greater transparency and improved food security. The challenges are primarily the high investment costs, energy consumption, data and consumer protection as well as regulatory issues.
Future outlook
The implementation of AI will increase exponentially over the coming years. Production facilities are evolving into self-learning systems that adapt to new conditions in real-time. Autonomous supply chains coordinate the transport, storage and distribution with almost no human intervention. In the long term, AI & Deep Tech will not only increase the efficiency and safety, it will also decisively drive the transition towards a more sustainable, more resource-efficient food industry.
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The digital magazine offers best practice examples, business insights and trends on current topics, as well as articles on innovations in the food industry.