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AI & Deep Tech

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.

Current developments and trends in the AI section of the food industry

Smart supply chains;


AI-based systems analyse the demand, weather and market data in real-time to optimise stocks. This prevents overproduction, reduces food waste and makes the supply chains more flexible and more cost-efficient.

Machine learning:


Algorithms recognise patters in complex production data, optimise recipes, readjust processes automatically to suit fluctuating raw material qualities and minimise rejects. This makes it possible to control production lines more flexibly, reduce costs and maintain reliable quality standards.

Food safety monitoring:


Automated sensors and image detecting systems enable the seamless monitoring of the entire production. Risks such as contamination or quality deviations are identified early reducing recalls and strengthening consumer trust.

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

What does Deep Tech mean in the food section?

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.

How is AI transforming the value chain of food production?

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.

What are the opportunities and challenges of implementing AI in the food industry?

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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