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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2021
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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) |
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cattle behaviour lameness detection precision livestock farming intelligent perception cattle welfare Veterinary medicine SF600-1100 Zoology QL1-991 |
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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 |
work_keys_str_mv |
AT yongliangqiao intelligentperceptionbasedcattlelamenessdetectionandbehaviourrecognitionareview AT hekong intelligentperceptionbasedcattlelamenessdetectionandbehaviourrecognitionareview AT cameronclark intelligentperceptionbasedcattlelamenessdetectionandbehaviourrecognitionareview AT sabrinalomax intelligentperceptionbasedcattlelamenessdetectionandbehaviourrecognitionareview AT daobiligesu intelligentperceptionbasedcattlelamenessdetectionandbehaviourrecognitionareview AT stuarteiffert intelligentperceptionbasedcattlelamenessdetectionandbehaviourrecognitionareview AT salahsukkarieh intelligentperceptionbasedcattlelamenessdetectionandbehaviourrecognitionareview |
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1718413294069350400 |