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What can Machine Learning do to prevent the Extinction of Threatened Species


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Although scientists currently know very little about many of the Earth’s species, we know that many of them are already in danger of going extinct. These lesser-known species are at significant risk, according to a recent study that used machine learning. Because scientists haven’t been able to learn enough about some animal and plant species to comprehend how they live or how many are left, environmentalists have given them the moniker “data deficient.” Unfortunately, it turns out that those “data-poor” species are far more endangered than other, better-known species. The International Union for Conservation of Nature maintains a global “Red List” that assesses species according to their threat.

What are Endangered and Threatened Species?

A century ago, North America was home to a bird known as the passenger pigeon. People frequently witnessed enormous flocks of pigeons flying overhead. There isn’t a single one left. What took place? Passenger pigeons are no longer around. Passenger pigeons that were still alive vanished totally from the planet. For two causes, the passenger pigeon went extinct. First, farms and settlements were built over the woodlands where it once thrived. Second, a lot of pigeons were shot for food and entertainment. There were no hunting regulations to save endangered species back then like today. In the United States today, more than 1,300 species are endangered or threatened. Plants and animals that have become so scarce that they are at risk of becoming extinct are considered endangered species. Plants and threatened animals have a good chance of going extinct in the near future throughout all or a sizable portion of their range.

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