A consumer-grade drone can take photos of trees from above that are good enough to train a deep-learning algorithm to tell different species apart.
Details: The team behind the project flew drone over a forest in Kyoto, Japan, to take photos and then divided some of them into seven categories: six types of trees and one called “others,” for images that captured bare land or buildings.
Results: After some fiddling, the algorithm (which was on an earth-bound computer) achieved 89 percent accuracy overall.
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