Investing in Data Analytics and AI to Create a More Sustainable and Resilient Food System

“We need to see a shift away from the current industrial model of food production, which is heavily reliant on fossil fuels and chemicals, to a more sustainable and resilient system that works with nature and is better able to withstand the shocks of climate change and conflict. This means investing in agroecology, which is a form of sustainable agriculture that uses natural processes and local resources to increase yields and improve resilience.

“To make this shift, we need to invest in data analytics and artificial intelligence (AI) to help farmers make better decisions about how to use their land, water and other resources. AI can help farmers to identify the best crops to grow, the best times to plant and harvest, and the best ways to manage pests and diseases. AI can also help farmers to identify the most efficient ways to use their resources and to manage their land in a way that is both sustainable and profitable.

“AI can also be used to monitor and manage the global food supply chain, helping to ensure that food is produced and distributed in a way that is both efficient and equitable. AI can help to identify potential problems in the food supply chain, such as food waste, and can help to ensure that food is distributed to those who need it most.

“Finally, AI can be used to monitor and manage the global food market, helping to ensure that food prices remain stable and that food is available to all. AI can help to identify potential problems in the food market, such as price volatility, and can help to ensure that food is available to those who need it most.

“The G7 Leaders’ Communiqué was a missed opportunity to address the flaws in the global food system and to invest in the data analytics and AI needed to make the shift to a more sustainable and resilient food system. Without such investment, we risk another global food crisis in the future.”