Integratingdrone-borne thermal imaging with artificial intelligence to locate bird nests on agricultural land

编号 030025104

推送时间 20200810

研究领域 森林经理 

年份 2020 

类型 期刊 

语种 英语

标题 Integratingdrone-borne thermal imaging with artificial intelligence to locate bird nests on agricultural land

来源期刊 SCIENTIFIC REPORTS

期 第251期

发表时间 20200714

关键词 TECHNOLOGIES;  ECOLOGY; 

摘要 In conservation, the use of unmanned aerial vehicles (drones) carrying various sensors and the use of deep learning are increasing, but they are typically used independently of each other. Untapping their large potential requires integrating these tools. We combine drone-borne thermal imaging with artificial intelligence to locate ground-nests of birds on agricultural land. We show, for the first time, that this semi-automated system can identify nests with a high performance. However, local weather, type of arable field and height of the drone can affect performance. The results' implications are particularly relevant to conservation practitioners working across sectors, such as biodiversity conservation and food production in farmland. Under a rapidly changing world, studies like this can help uncover the potential of technology for conservation and embrace cross-sectoral transformations from the onset;for example, by integrating nest detection within the precision agriculture system that heavily relies on drone-borne sensors.

服务人员 付贺龙

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