Animal Sciences Unit, Institute for Agricultural and Fisheries Research (ILVO), Scheldeweg 68, B-9090 Melle, Belgium.
Poult Sci. 2013 Jan;92(1):12-8. doi: 10.3382/ps.2012-02153.
Footpad dermatitis is increasingly used as an indicator of decreased broiler welfare, and automation of dermatitis monitoring potentially reduces the effort needed to monitor commercial flocks. In this study we evaluated a prototype system for the automatic assessment of footpad dermatitis in broiler chickens by comparing the automatic assessment with a human expert assessment. The expert aimed at selecting 2 times (different period) 20 broilers per footpad dermatitis category (5 categories in total), from 2 different flocks of 38-d-old broilers on an experimental farm. Two days later these broilers were transported to the slaughterhouse, where footpad dermatitis was assessed by the automatic system. Subsequently the footpads were reassessed by the same expert that had selected the birds. Automatic scores were only weakly correlated with scores given by the expert on-farm (r = 0.54) and at the slaughterhouse (r = 0.59). Manual evaluation of the photographs on which the automatic system based its scores revealed several errors. For 41.1% of the birds, the automatic system assessed only one of the footpads, whereas for 15.2% neither footpad was assessed. For 49.4% of the birds, scores were based on partially incorrectly identified areas. When data from such incomplete and obviously incorrect assessments were discarded, stronger correlations between automatic and expert scores were found (r = 0.68 and r = 0.74 for expert scores given on-farm and at-slaughter, respectively). Footpads that were missed by the automatic system were more likely to receive a high expert score at slaughter (P = 0.02). However, average flock scores did not differ greatly between automatic and expert scores. The prototype system for automatic dermatitis assessment needs to be improved on several points if it is to replace expert assessment of footpad dermatitis.
脚垫皮炎越来越多地被用作肉鸡福利下降的指标,而皮炎监测的自动化可能会减少监测商业鸡群所需的工作量。在这项研究中,我们评估了一种用于自动评估肉鸡脚垫皮炎的原型系统,通过将自动评估与人类专家评估进行比较来评估。专家旨在从 2 个不同的 38 日龄肉鸡群中,每只脚垫皮炎类别(总共 5 个类别)选择 20 只肉鸡。两天后,这些肉鸡被运送到屠宰场,由自动系统评估脚垫皮炎。随后,同一位专家对同一批肉鸡进行了重新评估。自动评分与专家在农场(r = 0.54)和屠宰场(r = 0.59)的评分仅弱相关。对自动系统评分所依据的照片进行手动评估后发现了几个错误。对于 41.1%的肉鸡,自动系统只评估了一只脚垫,而对于 15.2%的肉鸡,两只脚垫都没有被评估。对于 49.4%的肉鸡,评分是基于部分错误识别的区域。当丢弃这些不完整且明显错误的评估数据时,自动评分与专家评分之间的相关性更强(在农场和屠宰场的专家评分分别为 r = 0.68 和 r = 0.74)。自动系统错过的脚垫在屠宰时更有可能获得高的专家评分(P = 0.02)。然而,平均鸡群评分在自动评分和专家评分之间差异不大。如果要取代专家对脚垫皮炎的评估,自动皮炎评估的原型系统需要在几个方面进行改进。