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Review
. 2021 Oct 22;11(11):3033.
doi: 10.3390/ani11113033.

Intelligent Perception-Based Cattle Lameness Detection and Behaviour Recognition: A Review

Yongliang Qiao  1 , He Kong  1 , Cameron Clark  2 , Sabrina Lomax  2 , Daobilige Su  3 , Stuart Eiffert  1 , Salah Sukkarieh  1
Affiliations
Review

Intelligent Perception-Based Cattle Lameness Detection and Behaviour Recognition: A Review

Yongliang Qiao et al. Animals (Basel). .

Abstract

The growing world population has increased the demand for animal-sourced protein. However, animal farming productivity is faced with challenges from traditional farming practices, socioeconomic status, and climate change. In recent years, smart sensors, big data, and deep learning have been applied to animal welfare measurement and livestock farming applications, including behaviour recognition and health monitoring. In order to facilitate research in this area, this review summarises and analyses some main techniques used in smart livestock farming, focusing on those related to cattle lameness detection and behaviour recognition. In this study, more than 100 relevant papers on cattle lameness detection and behaviour recognition have been evaluated and discussed. Based on a review and a comparison of recent technologies and methods, we anticipate that intelligent perception for cattle behaviour and welfare monitoring will develop towards standardisation, a larger scale, and intelligence, combined with Internet of things (IoT) and deep learning technologies. In addition, the key challenges and opportunities of future research are also highlighted and discussed.

Keywords: cattle behaviour; cattle welfare; intelligent perception; lameness detection; precision livestock farming.

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Conflict of interest statement

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

Figures

Figure 1
Figure 1
The framework of intelligent perception-based animal farming.
Figure 2
Figure 2
Examples of acquired images from an Intel RealSense D435 camera.
See this image and copyright information in PMC

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