A review of machine learning and satellite imagery for poverty prediction: Implications for development research and applications

A review of machine learning and satellite imagery for poverty prediction: Implications for development research and applications

The field of artificial intelligence is seeing the increased application of satellite imagery to analyse poverty in its various manifestations. This nascent but rapidly growing intersection of scholarship holds the potential to help us better understand poverty by leveraging big data and recent advances in machine vision. In this study, we statistically analyse the literature in the expanding field of welfare and poverty predictions from the combination of machine learning and satellite imagery. Here, we apply an integrative review […]

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