Literature DB >> 33499381

A Review: Development of Computer Vision-Based Lameness Detection for Dairy Cows and Discussion of the Practical Applications.

Xi Kang1,2, Xu Dong Zhang1,2, Gang Liu1,2.   

Abstract

The computer vision technique has been rapidly adopted in cow lameness detection research due to its noncontact characteristic and moderate price. This paper attempted to summarize the research progress of computer vision in the detection of lameness. Computer vision lameness detection systems are not popular on farms, and the accuracy and applicability still need to be improved. This paper discusses the problems and development prospects of this technique from three aspects: detection methods, verification methods and application implementation. The paper aims to provide the reader with a summary of the literature and the latest advances in the field of computer vision detection of lameness in dairy cows.

Entities:  

Keywords:  computer vision techniques; dairy cattle; image processing; lameness detection; visual locomotion scoring

Mesh:

Year:  2021        PMID: 33499381      PMCID: PMC7866151          DOI: 10.3390/s21030753

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  71 in total

1.  Assessment of the welfare of dairy cattle using animal-based measurements: direct observations and investigation of farm records.

Authors:  H R Whay; D C J Main; L E Green; A J F Webster
Journal:  Vet Rec       Date:  2003-08-16       Impact factor: 2.695

2.  Aggregation of measures to produce an overall assessment of animal welfare. Part 2: analysis of constraints.

Authors:  R Botreau; M B M Bracke; P Perny; A Butterworth; J Capdeville; C G Van Reenen; I Veissier
Journal:  Animal       Date:  2007-09       Impact factor: 3.240

3.  Reducing lameness in dairy herds--overcoming some barriers.

Authors:  K A Leach; E S Paul; H R Whay; Z E Barker; C M Maggs; A K Sedgwick; D C J Main
Journal:  Res Vet Sci       Date:  2012-11-16       Impact factor: 2.534

4.  Association of abnormal hind-limb postures and back arch with gait abnormality in dairy cattle.

Authors:  A C Hoffman; D A Moore; J Vanegas; J R Wenz
Journal:  J Dairy Sci       Date:  2014-02-06       Impact factor: 4.034

5.  Applicability of day-to-day variation in behavior for the automated detection of lameness in dairy cows.

Authors:  R M de Mol; G André; E J B Bleumer; J T N van der Werf; Y de Haas; C G van Reenen
Journal:  J Dairy Sci       Date:  2013-03-30       Impact factor: 4.034

6.  Farmers' preferences for automatic lameness-detection systems in dairy cattle.

Authors:  T Van De Gucht; W Saeys; A Van Nuffel; L Pluym; K Piccart; L Lauwers; J Vangeyte; S Van Weyenberg
Journal:  J Dairy Sci       Date:  2017-05-17       Impact factor: 4.034

7.  The cow pedogram-Analysis of gait cycle variables allows the detection of lameness and foot pathologies.

Authors:  M Alsaaod; M Luternauer; T Hausegger; R Kredel; A Steiner
Journal:  J Dairy Sci       Date:  2016-12-09       Impact factor: 4.034

Review 8.  Animal board invited review: Dairy cow lameness expenditures, losses and total cost.

Authors:  K Dolecheck; J Bewley
Journal:  Animal       Date:  2018-03-20       Impact factor: 3.240

9.  An investigation into the use of infrared thermography (IRT) as a rapid diagnostic tool for foot lesions in dairy cattle.

Authors:  J E Stokes; K A Leach; D C J Main; H R Whay
Journal:  Vet J       Date:  2012-08-04       Impact factor: 2.688

10.  A Cross-Sectional Study Into the Prevalence of Dairy Cattle Lameness and Associated Herd-Level Risk Factors in England and Wales.

Authors:  Bethany E Griffiths; Dai Grove White; Georgios Oikonomou
Journal:  Front Vet Sci       Date:  2018-04-05
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  1 in total

1.  Automatic Detection Method of Dairy Cow Feeding Behaviour Based on YOLO Improved Model and Edge Computing.

Authors:  Zhenwei Yu; Yuehua Liu; Sufang Yu; Ruixue Wang; Zhanhua Song; Yinfa Yan; Fade Li; Zhonghua Wang; Fuyang Tian
Journal:  Sensors (Basel)       Date:  2022-04-24       Impact factor: 3.576

  1 in total

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