在机器人时代监测陆地生物多样性的机遇和挑战

Stephen Pringle1, Martin Dallimer2, Mark A Goddard3

  • 1Durrell Institute of Conservation and Ecology (DICE), School of Natural Sciences, University of Kent, Canterbury, UK. s.pringle@kent.ac.uk.

PubMed
概括

机器人和自主系统 (RAS) 可以通过解决网站访问和数据处理等关键障碍,显著改善陆地生物多样性监测. 需要进一步开发,但RAS为追踪物种种群的现有方法提供了强大的补充.

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