4 Benefits of Artificial Intelligence and How AI is Reshaping the Food Industry

4 Benefits of Artificial Intelligence and how AI is Reshaping the Food Industry

Global demand for food is raising and can we meet the demand? Food industry stakeholders and farmers have tried to fulfil the demand by using technology i.e mass production with the help of machinery. But many countries are already using machinery to reduce labour cost and increase production. But this technique is not fulfilling the demand for food to sustain a growing population. Many individuals, stakeholders and food scientists expect that Artificial Intelligence and machine learning can provide a solution for this problem. Artificial intelligence deals with intelligent machines. AI can also make predictions by learning from distinct models of data, its goal is to explore as much as it could and come up with an intelligent and best solution to a problem. Machine learning is almost assisting in every field and reducing the burden of humanity. It is also dealing with food science and managing the complexity of data. The question is what Artificial Intelligence and machine learning can do in the food industry? Can it help us in growing food?

Artificial Ideas in the food industry:

These projects in the food industry require brainstorming sessions because Artificial Intelligence and machine learning is coming up with new ideas and creating more opportunities.

Why AI is crucial:

We can reduce hunger by growing, sharing and consuming food with new ideas. Fisheries, forestry and agriculture can provide food for the world. Climate change is putting pressure on biodiversity, soils, forests, oceans, freshwater and increasing disaster such as droughts. This requires strong measures to nourish 800+  people and by 2050 it will add 2 billion more people. Here Artificial Intelligence and machine learning can address world hunger. With the help of AI and machine learning, it can analyze growing, manufacturing, distribution and it can make predictions on the basis of the analysis that what changings are required to increase production and reduce failures.

Applications of AI in the food industry:

There are many applications of AI and machine learning in food sciences. 4 main applications are enlisted below.

Predict Outcomes:

With the help of machine learning, AI can predict outcomes by analyzing planted seeds, type of soil and nutrients. This can assist in improving and increasing production. It can also analyse the quality of food by analysing its type and can predict the results of planting seeds through that food. AI application  Tomra Sorting can assist in sorting food. For instance, take an example of potatoes, this application can assist manufacturers that which potato is best for french fries or hash browns.

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Improve Supply Chain:

Food chain regulations have become strict and companies are trying to become more transparent to stay compliant with regulations. They must know about the person from whom they are buying. This is crucial for them to monitor someone is not selling them poisonous food so they must use a complete solution for KYC compliance to even know their customer and avoid pickpockets in their store. Ai can help to monitor food safety products of the supply chain. Ai can track products from farm to the consumer for transparency, it can control inventory and create more accurate forecasts to manage price.

Ensure Hygiene:

Everyone is concerned about the food he is eating that it is hygienic or not. Ai cans improve and ensure hygiene in plants and compliant with regulations. The software can be installed in restaurants for object and facial recognition and it can determine about workers that they are following protocols of wearing masks and gloves and can generate alert for violation.

Cleaning equipment:

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Another and important application AI in the food industry is it can reduce labour cost by automating many daily tasks. By using the automatic cleaning system it can ensure the following of health standards and clean equipment. A system is developed by the University of Nottingham researchers that can save up to 100 million pounds a year. It uses SOCIP Self-Optimising-Clean-in-Place, optical fluorescence and ultrasonic sensing to measure residue that is a very good and more accurate approach.


Due to ability, efficiency and robust results and due to its applications of improving food workers, quick cleaning processes and saving food from waste, the role of AI is becoming vital in the food industry. AI has the potential to create affordable and healthier food industry for both, workers and consumers.

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