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Poopspotting: How AI and satellites can detect illegal manure spreading in Wisconsin


Researchers are using aerial photos, taken by satellites, to teach computers to recognize winter spreading of manure in Wisconsin.

Scientists from Stanford’s Regulation, Evaluation and Governance Lab are analyzing troves of aerial photographs to teach computers to recognize when farmers butter the land with livestock poop during the winter, a largely restricted but suspectedly pervasive practice in America’s Dairyland. A machine learning model developed by researchers at Stanford University’s Regulation, Evaluation and Governance Lab initially flagged Weiss’ field, shown here, to the state agency as an area where manure was spread during prohibited winter months. Images from a Stanford University artificial intelligence training database depict an unconfirmed, but presumed example of manure spreading that the researchers would have used to teach computers to recognize when farmers butter land with livestock poop during the winter.

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