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AI key to safeguarding food systems amid coronavirus: tech firm

A UK tech company claims AI holds the key to avoiding the risk of coronavirus destabilising the food system.

UK tech firm Agrimetrics, backed by Government and Microsoft, says that COVID-19 is a reminder of how vulnerable our food system in the same way that the financial crash of 2008 exposed the dangers of a finance system built on a web of ‚Äėmany poorly understood’ interdependencies.

It was this fear of a systemic crash in our food system that drove Richard Tiffin, Professor of Applied Economics at the University of Reading and Agrimetrics’ Chief Scientific Officer then Director of the Centre for Food Security, to co-found¬†AI company Agrimetrics.

‚ÄúI wanted us to understand the hidden risks that could spark a catastrophic chain of events,‚ÄĚ‚Äč said Tiffin. ‚ÄúOur food system is incredibly interdependent, but ironically it‚Äôs also incredibly disconnected. We have no idea of the¬†long-term¬†consequences of events like COVID-19. To avoid collapse, we need to understand these connections.‚ÄĚ‚Äč

Tiffin believes that past events such as the Arab Spring and the Chinese Four Pests Campaign are examples of systems that have failed due to their interconnectedness. He further believes that deploying artificial intelligence (AI) can reduce the chances of failures of interconnectedness happening again.

China’s Four Pests Campaign in the 1950s sought to eliminate rats, flies, mosquitoes and sparrows. Unfortunately, though sparrows are an agricultural pest, they also prey on a greater pest: locusts. The ensuing ecological imbalance contributed to the Great Chinese Famine, which killed 45 million people.

The Arab Spring is a more recent example of a failure of interconnectedness. The revolutionary events in 2011 were sparked by food shortages after Russian President Putin halted exports and world grain prices increased by 40%. That was sparked after drought and wildfires decimated crops in Eastern Europe. Meanwhile, the resulting refugee crisis resulting from the Arab Spring has had a lasting effect on Europe.

‚ÄúThese are extreme examples, but it‚Äôs easy to see how¬†a prior¬†understanding¬†of¬†the¬†relationships¬†would have helped us limited the damage¬†of these crises ‚Äď or avoid them altogether,‚ÄĚ‚Äč noted Tiffin.


He believes artificial intelligence can prevent the problems of interconnectedness and even predict future food shortages. With funding from the UK government, Agrimetrics built a Data Marketplace, which houses information from across the global food system. Consumer goods company Unilever was an early customer. Recently Airbus, the world’s second-largest aerospace company, announced they would use Agrimetrics to market satellite imagery that can be used to monitor crop health.

‚ÄúThe Marketplace is a¬†great way to get people sharing information¬†in the same place, but that‚Äôs only the first stage of the solution,‚ÄĚ‚Äč continued Tiffin.¬†‚ÄúIf we are¬†to answer complex questions then¬†data needs to be organised in¬†certain ways.¬†This includes¬†predicting¬†future food shortages,¬†finding ways of reducing agriculture‚Äôs carbon footprint¬†and limiting¬†the spread of crop disease.‚ÄĚ‚Ä謆‚Äč

Agrimetrics¬†uses a ‚ÄėKnowledge Graph‚Äô to connect the data on its Marketplace; the same technology used by¬†Google and Amazon.¬†It works by defining the relationship between¬†data, which enables¬†people and¬†machines¬†to find the information they need more quickly.

‚ÄúThe current applications of artificial intelligence are narrow¬†and¬†require human¬†intervention. The beauty of organising data¬†in¬†this way¬†is that AI will be able to self-serve.¬†It will¬†be able to explore the connections between billions of different variables, uncovering links and insights that we‚Äôd never even considered.‚ÄĚ‚Äč

Agrimetrics’ projects have reduced the flow of pesticides into waterways and used predictive models to improve fresh food supply chains and animal health.

Tiffin said AI presents the opportunity to feed everyone on the planet sustainably.

‚ÄúThe¬†best manufacturers¬†have¬†used data and AI¬†to¬†increase production by 50%¬†and¬†cut waste by 20%; agriculture can do the same.¬†It is possible¬†to¬†sustainably feed everyone on our plant for many years to come, but not without AI and¬†not without¬†data sharing.‚Ä̬†

Fuente: Food Navigator-LATAM