The technologies highlighted by the research could help reduce the time and resources required to detect wildlife, while increasing the effectiveness of conservation efforts.Ĭombining AI and citizen science to improve wildlife identificationĪrtificial intelligence (AI) is increasingly used to analyze large amounts of conservation data, such as camera trap, satellite and drone images or audio and video recordings, and improve wildlife identification and monitoring. Traditional methods for tracking biodiversity, such as camera traps, which connect digital cameras to an infrared sensor to capture images and videos of animals moving past the sensor, or aerial surveys can be labor-intensive and costly. Multiple scientific studies suggest that if no action is taken, as many as half of all species could go extinct by the end of the century. The researchers surveyed 248 conservationists, technologists and academics across 37 countries over the 11 most commonly used conservation technologies, including camera traps, biologgers, acoustic monitoring and remote sensings.Īlthough it’s estimated that about 8.7 million species populate our planet, 86 percent of all species on land and 91 percent in the oceans are yet to be discovered. Published last December by conservation technology network WILDLABS, together with a group of non-profit and academic partners, the report is the first of its kind to provide a holistic assessment of the state of conservation technology.
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