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Automated bioacoustics: methods in ecology and conservation and their potential for animal welfare monitoring

机译:自动化生物理学:生态与保护方法及其对动物福利监测的潜力

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摘要

Vocalizations carry emotional, physiological and individual information. This suggests that they may serve as potentially useful indicators for inferring animal welfare. At the same time, automated methods for analysing and classifying sound have developed rapidly, particularly in the fields of ecology, conservation and sound scene classification. These methods are already used to automatically classify animal vocalizations, for example, in identifying animal species and estimating numbers of individuals. Despite this potential, they have not yet found widespread application in animal welfare monitoring. In this review, we first discuss current trends in sound analysis for ecology, conservation and sound classification. Following this, we detail the vocalizations produced by three of the most important farm livestock species: chickens (Gallus gallus domesticus), pigs (Sus scrofa domesticus) and cattle (Bos taurus). Finally, we describe how these methods can be applied to monitor animal welfare with new potential for developing automated methods for large-scale farming.
机译:发声携带情绪,生理和个人信息。这表明他们可以作为推断动物福利的潜在有用指标。与此同时,用于分析和分类声音的自动化方法迅速发展,特别是在生态,保护和声音场景分类领域。这些方法已经用于自动分类动物发声,例如,识别动物物种和估计个体数量。尽管有这些潜力,但他们尚未发现在动物福利监测中普遍存在。在这篇综述中,我们首先讨论了生态,保护和声音分类的声音分析趋势。在此之后,我们详细说明了三种最重要的农场牲畜种类所产生的发声:鸡(Gallus Gallus Domesticus),猪(Sus Scrofa Domesticus)和牛(Bos Taurus)。最后,我们描述了如何应用这些方法来监测动物福利,以便开发大规模农业自动化方法的新潜力。

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