The Role of AI in Agrifood

Every executive is asking and being asked, “What is your company’s AI strategy?” Discussed at business dinners and board rooms, the potential of AI to inform decision making, growth strategies and operational efficiencies has taken center stage, writes Anastasia Volkova at Forbes.

I think it’s time to shine a light on the uses of AI technology in one of the industries that touches every person every day—yet not one you might necessarily think has already embraced it: agrifood.

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Starting close to the consumer, CPG companies have been using AI to analyze large amounts of data to identify trends in consumer behaviors for some time. These AI-powered decision-support systems generate accurate predictions and recommendations based on historical patterns. Sophisticated and complex, the systems used by these consumer food market leaders consider a wide range of information.

Moving away from the consumer and more into the mechanics of the agricultural supply chains definitely requires the use of AI to enhance agricultural practices and sustainability. The agricultural supply chain is complex and often leverages aggregation and disaggregation of commodities at critical points across the chain.

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This also makes it more resilient in the face of climate change and geopolitical conflict. This complexity makes it challenging for agrifood companies to collect data for all commodities produced globally, starting with the data on farming practices.

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