News: Walmart is using machine learning to reduce food waste
Walmart has developed a machine learning tool to predict when fruit and vegetables will spoil and make supply chains less wasteful.
The tool, called Eden, uses photographs of fruit and vegetables to check for defects and thermometers to track the temperature of goods in transit. Produce that might spoil faster can be re-routed to closer stores, so that it can be sold while it is still fresh. Eden has already saved $86 million by preventing waste and it is hoped that it can save $2 billion in the next five years.
Read the full story here and see Walmart’s announcement here. See also the Foodsource resource How are food losses and waste an environmental concern?
North America is the northern subcontinent of the Americas covering about 16.5% of the Earth's land area. This large continent has a range of climates spanning Greenland’s permanent ice sheet and the dry deserts of Arizona. Both Canada and the USA are major food producers and some of the largest food exporters in the world. Industrial farms are the norm in North America, with high yields relative to other regions and only 2% of the population involved in agriculture.