Validation of a Commercial Automated Body Condition Scoring System in Dairy Herds and its Comparison with the Visual Method

2022 ◽  
Author(s):  
María Victoria Lucas ◽  
Mariana Lucas ◽  
Marina Snitcofsky ◽  
Laura Araujo
Keyword(s):  
Body Condition ◽  
Scoring System ◽  
Dairy Herds ◽  
Visual Method ◽  
Body Condition Scoring

scholarly journals Comparison of a classical with a highly formularized body condition scoring system for dairy cattle

animal ◽  
2014 ◽  
Vol 8 (12) ◽  
pp. 1971-1977 ◽  
Author(s):  
A. Isensee ◽  
F. Leiber ◽  
A. Bieber ◽  
A. Spengler ◽  
S. Ivemeyer ◽  
...  
Keyword(s):  
Dairy Cattle ◽  
Body Condition ◽  
Scoring System ◽  
Body Condition Scoring

scholarly journals Validation and utility of a body condition scoring system for chimpanzees ( Pan troglodytes )

2020 ◽  
Vol 82 (10) ◽  
Author(s):  
Lisa A. Reamer ◽  
Sarah J. Neal Webb ◽  
Rebekah Jones ◽  
Erica Thiele ◽  
Rachel L. Haller ◽  
...  
Keyword(s):  
Body Condition ◽  
Pan Troglodytes ◽  
Scoring System ◽  
Body Condition Scoring

scholarly journals A Study of Traveller Horse Owners’ Attitudes to Horse Care and Welfare Using an Equine Body Condition Scoring System

Animals ◽  
2019 ◽  
Vol 9 (4) ◽  
pp. 162 ◽  
Author(s):  
Rowland ◽  
Coombs ◽  
Connor
Keyword(s):  
Capacity Building ◽  
Body Condition ◽  
Scoring System ◽  
Management Practices ◽  
Ease Of Use ◽  
Discussion Groups ◽  
Structured Interviews ◽  
Body Condition Scoring ◽  
Horse Owners ◽  
Poor Welfare

Traveller horses are often perceived to be exposed to poor welfare due to Travellers’ traditional way of horsemanship. However, few studies have investigated Traveller horse welfare. Hence, the present study aims to explore Traveller horse owners’ attitudes to horse care and welfare. Semi-structured interviews and discussion groups examined 14 Irish Traveller horse owners’ attitudes and approach to horse ownership. Additionally, a body condition scoring (BCS) instrument was assessed for its accuracy and ease of use when applied by Traveller horse owners. Additionally, the BCS system was used to assess 18 horses. Results show that Travellers have a good understanding of horses’ natural behaviours and environment, which is reflected in their management practices. However, barriers to improved welfare are land availability, since landowners are often reluctant to lease to Travellers, and the impoundment of horses as a consequence of fly grazing, under the Control of Horses Act 1996 (Ireland). Furthermore, Travellers regarded the BCS as a useful tool, but would require training to apply the scoring successfully. The results suggest that attitudes and management practices are favourable, but Travellers have limited means to overcome barriers. Therefore, it is necessary to increase capacity building and assist with the acquisition of land.

scholarly journals A Body Condition Scoring System for Bali Cattle

2011 ◽  
Vol 24 (11) ◽  
pp. 1587-1594 ◽  
Author(s):  
F. S. Soares ◽  
G. McL. Dryden
Keyword(s):  
Body Condition ◽  
Scoring System ◽  
Body Condition Scoring ◽  
Bali Cattle

scholarly journals Automatic body condition scoring system for dairy cows based on depth-image analysis

2020 ◽  
Vol 13 (4) ◽  
pp. 45-54
Author(s):  
Kaixuan Zhao ◽  
◽  
Anthony N. Shelley ◽  
Daniel L. Lau ◽  
Karmella A. Dolecheck ◽  
...  
Keyword(s):  
Image Analysis ◽  
Dairy Cows ◽  
Body Condition ◽  
Scoring System ◽  
Depth Image ◽  
Body Condition Scoring ◽  
Depth Image Analysis

Body Condition Scoring System - Anwendung in der Kleintierpraxis

2007 ◽  
Vol 10 (6) ◽  
pp. 24-27 ◽  
Author(s):  
B. Dobenecker ◽  
N. Zorn
Keyword(s):  
Body Condition ◽  
Scoring System ◽  
Body Condition Scoring

scholarly journals An Improved Approach to Automated Measurement of Body Condition Score in Dairy Cows Using a Three-Dimensional Camera System

Animals ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 72
Author(s):  
Rodrigo I. Albornoz ◽  
Khageswor Giri ◽  
Murray C. Hannah ◽  
William J. Wales
Keyword(s):  
Dairy Cows ◽  
Body Condition ◽  
Body Condition Score ◽  
Three Dimensional ◽  
Data Sets ◽  
Camera System ◽  
Visual Method ◽  
Condition Score ◽  
Body Condition Scoring ◽  
Over Time

Body condition scoring is a valuable tool used to assess the changes in subcutaneous tissue reserves of dairy cows throughout the lactation resulting from changes to management or nutritional interventions. A subjective visual method is typically used to assign a body condition score (BCS) to a cow following a standardized scale, but this method is subject to operator bias and is labor intensive, limiting the number of animals that can be scored and frequency of measurement. An automated three-dimensional body condition scoring camera system is commercially available (DeLaval Body Condition Scoring, BCS DeLaval International AB, Tumba, Sweden), but the reliability of the BCS data for research applications is still unknown, as the system’s sensitivity to change in BCS over time within cows has yet to be investigated. The objective of this study was to evaluate the suitability of an automated body condition scoring system for dairy cows for research applications as an alternative to visual body condition scoring. Thirty-two multiparous Holstein-Friesian cows (9 ± 6.8 days in milk) were body condition scored visually by three trained staff weekly and automatically twice each day by the camera for at least 7 consecutive weeks. Measurements were performed in early lactation, when the greatest differences in BCS of a cow over the lactation are normally present, and changes in BCS occur rapidly compared with later stages, allowing for detectable changes in a short timeframe by each method. Two data sets were obtained from the automatic body condition scoring camera: (1) raw daily BCS camera values and (2) a refined data set obtained from the raw daily BCS camera data by fitting a robust smooth loess function to identify and remove outliers. Agreement, precision, and sensitivity properties of the three data sets (visual, raw, and refined camera BCS) were compared in terms of the weekly average for each cow. Sensitivity was estimated as the ratio of response to precision, providing an objective performance criterion for independent comparison of methods. The camera body condition scoring method, using raw or refined camera data, performed better on this criterion compared with the visual method. Sensitivities of the raw BCS camera method, the refined BCS camera method, and the visual BCS method for changes in weekly mean score were 3.6, 6.2, and 1.7, respectively. To detect a change in BCS of an animal, assuming a decline of about 0.2 BCS (1–8 scale) per month, as was observed on average in this experiment, it would take around 44 days with the visual method, 21 days with the raw camera method, or 12 days with the refined camera method. This represents an increased capacity of both camera methods to detect changes in BCS over time compared with the visual method, which improved further when raw camera data were refined as per our proposed method. We recommend the use of the proposed refinement of the camera’s daily BCS data for research applications.

scholarly journals Development and validation of a visual body condition scoring system for dairy goats with picture-based training

2015 ◽  
Vol 98 (9) ◽  
pp. 6597-6608 ◽  
Author(s):  
A. Vieira ◽  
S. Brandão ◽  
A. Monteiro ◽  
I. Ajuda ◽  
G. Stilwell
Keyword(s):  
Body Condition ◽  
Scoring System ◽  
Dairy Goats ◽  
Body Condition Scoring ◽  
Development And Validation
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