Researchers at Japan's University of Tsukuba have combined flying drones and machine learning (ML) to map plastic pollution in river habitats.
The researchers employed drones to capture high-resolution optical and thermal images along Indonesia's Brantas River, which were processed by ML algorithms.
"Using these methods, we found that a combination of optical and thermal images produced the most accurate estimates of the amounts of plastic litter," said Tsukuba's Fatwa Ramdani. "On their own, neither image type produced particularly accurate results."
From University of Tsukuba (Japan)
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