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

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...

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Autores principales: Yongliang Qiao, He Kong, Cameron Clark, Sabrina Lomax, Daobilige Su, Stuart Eiffert, Salah Sukkarieh
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/f6efdfb178214d1aab77940daf251ec8
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spelling oai:doaj.org-article:f6efdfb178214d1aab77940daf251ec82021-11-25T16:13:56ZIntelligent Perception-Based Cattle Lameness Detection and Behaviour Recognition: A Review10.3390/ani111130332076-2615https://doaj.org/article/f6efdfb178214d1aab77940daf251ec82021-10-01T00:00:00Zhttps://www.mdpi.com/2076-2615/11/11/3033https://doaj.org/toc/2076-2615The 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.Yongliang QiaoHe KongCameron ClarkSabrina LomaxDaobilige SuStuart EiffertSalah SukkariehMDPI AGarticlecattle behaviourlameness detectionprecision livestock farmingintelligent perceptioncattle welfareVeterinary medicineSF600-1100ZoologyQL1-991ENAnimals, Vol 11, Iss 3033, p 3033 (2021)
institution DOAJ
collection DOAJ
language EN
topic cattle behaviour
lameness detection
precision livestock farming
intelligent perception
cattle welfare
Veterinary medicine
SF600-1100
Zoology
QL1-991
spellingShingle cattle behaviour
lameness detection
precision livestock farming
intelligent perception
cattle welfare
Veterinary medicine
SF600-1100
Zoology
QL1-991
Yongliang Qiao
He Kong
Cameron Clark
Sabrina Lomax
Daobilige Su
Stuart Eiffert
Salah Sukkarieh
Intelligent Perception-Based Cattle Lameness Detection and Behaviour Recognition: A Review
description 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.
format article
author Yongliang Qiao
He Kong
Cameron Clark
Sabrina Lomax
Daobilige Su
Stuart Eiffert
Salah Sukkarieh
author_facet Yongliang Qiao
He Kong
Cameron Clark
Sabrina Lomax
Daobilige Su
Stuart Eiffert
Salah Sukkarieh
author_sort Yongliang Qiao
title Intelligent Perception-Based Cattle Lameness Detection and Behaviour Recognition: A Review
title_short Intelligent Perception-Based Cattle Lameness Detection and Behaviour Recognition: A Review
title_full Intelligent Perception-Based Cattle Lameness Detection and Behaviour Recognition: A Review
title_fullStr Intelligent Perception-Based Cattle Lameness Detection and Behaviour Recognition: A Review
title_full_unstemmed Intelligent Perception-Based Cattle Lameness Detection and Behaviour Recognition: A Review
title_sort intelligent perception-based cattle lameness detection and behaviour recognition: a review
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/f6efdfb178214d1aab77940daf251ec8
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AT sabrinalomax intelligentperceptionbasedcattlelamenessdetectionandbehaviourrecognitionareview
AT daobiligesu intelligentperceptionbasedcattlelamenessdetectionandbehaviourrecognitionareview
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