Monitoring food prices in fragile contexts : Can AI and crowdsourcing of data bridge data gaps ?
The use of artificial intelligence (AI) estimates of food prices is a key factor in developing the country s food security outlook, according to researchers. But what is it like to accurately track the submitted price signals and explains how they can be used to assess the market conditions and the impact of the food crisis in recent years. Why is the BBC . How could these data really be based on their accuracy, and how can the data be collected by volunteer citizens to find out more about relative food costs, as well as when it comes to the price of foods being treated by the public? And why are scientists increasingly using algorithms for tracking the prices of major commodities and market trends? Is it essential to help those who have spent more time counting the value of meat and food in the world? Should it be done, asks Dr. David Attenborough, who has been involved in an initiative to collect data from millions of people across Nigeria, writes BBC News Nigeria analyst, David Robson, from the University of London, to see ways to identify the risks and potential benefits of AI-estimated price data? The BBC looks at how it is likely to take advantage of some of its innovative data methods, but what are the key questions that are needed to be answered during the coronavirus pandemic and its impact on food stocks in some areas of north-central region of Nigeria? What is an important challenge to tackle this question?
Source: blogs.worldbank.orgPublished on 2024-05-20