Poverty Could be Predicted from Space

Images from satellites could predict poverty Poverty could be predicted by reading the satellite images using artificial intelligence. By indicating the areas where the most help is needed, these images could help eradicate global poverty. One can make an idea of a country’s wealth by examining how much it shines at night. A comparison between China and South Korea’s intense brightness and North Korea’s dark mass could be one of the best examples found by the scientists. However, the nighttime light cannot make differences between neighborhoods or villages within a large region. This kind of information could only be obtained by sending legions of survey-takers in populated rural areas. These actions usually cost millions of dollars and are very time-consuming, so, the researchers at Stanford have discovered a way to…


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