Automatic swine body measurements via two-dimensional imaging system and correlation analysis with conformation scoring

IF 5.7 Q1 AGRICULTURAL ENGINEERING
Zhengxu Liu , Wei Peng , Chaoyuan Wang , Guoming Li , Boyu Ji , David Casey , Ning Lu , Yunxiang Zhao
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Abstract

The manual measurement of pig body dimension is not only labor-intensive and fallible but also causes stress to the animals. Moreover, the subjective and ambiguous visual assessment of pig body conformation by Chinese pig traders consistently impacted the sustainable profitability of pig farms. Considering long-term robustness, this study aimed to develop an automated measurement system for pig body measurements based on two-dimension (2D) machine vision. For the first time, pig traders from Chinese five regions (North, East, MidSouth, WestSouth, WestNorth) were invited to an objective survey of body conformation scoring. They were also invited to rate pig videos (Good-3, Medium-2, Bad-1) obtained by the system using specially developed software. Subsequently, correlation analysis and principal component analysis were conducted. The correlation coefficient for abdominal circumference (R2=0.85) and chest circumference (R2=0.84) by 2D imaging reflected strong agreements, improved by 0.13 (18.1 %) and by 0.15(21.7 %) respectively, compared with the similar 3D system. The 2D imaging also indicated a moderate discrepancy in the prediction of the above circumferences. The 2D imaging system should be more robust further considering the cost and maintenance difficulty in pig farm. In the survey, traders from all regions assigned consistently high importance on Body Length and Height. The variance was mainly from Fur&Color and Belly, where the traders from Mid-South put a higher value to Fur&Color, and East’s traders paid higher attention to Belly. Our study provided the first-ever objective data basis behind pig body conformation by Chinese traders. It was concluded that the belly_height by the 2D imaging showed the most significant positive impact on trader conformation scoring for most regions except West-South. Whereas the belly_y_size (diameter of the digitally defined belly part) by the 2D imaging exerted the most significant negative effect on conformation scoring in most regions, only that it did have negative effect in East and WestSouth though under the significant level. Figuratively, pigs perceived as ‘higher’ with ‘smaller' bellies showed stronger market preference among traders in China.
利用二维成像系统和构象评分的相关分析自动测量猪体
猪体尺寸的人工测量不仅劳动强度大,而且容易出错,还会给动物带来压力。此外,中国生猪贸易商对猪体形态的主观和模糊的视觉评估一直影响着养猪场的可持续盈利能力。考虑到长期稳健性,本研究旨在开发一种基于二维机器视觉的猪体测量自动化系统。首次邀请中国北、东、中、南、西、北五大区的生猪贸易商对猪体构象评分进行客观调查。他们还被邀请使用专门开发的软件对系统获得的猪视频(Good-3, Medium-2, Bad-1)进行评分。随后进行相关分析和主成分分析。二维成像的腹围(R2=0.85)和胸围(R2=0.84)的相关系数较相似的三维成像系统分别提高0.13(18.1%)和0.15(21.7%),反映出较强的一致性。二维成像也显示了上述周长预测的适度差异。考虑到养猪场的成本和维护难度,二维成像系统应进一步增强鲁棒性。在调查中,来自所有地区的贸易商一致高度重视身体长度和身高。差异主要来自Fur&;Color和Belly,来自中南部的交易者更重视Fur&;Color,而来自东部的交易者更重视Belly。我们的研究提供了第一个客观的数据基础,背后的猪体符合中国贸易商。结果表明,除西南地区外,其他地区的腹部高度对交易者构象评分的正向影响最为显著。而2D成像的belly_y_size(数字定义腹部部分的直径)对大多数区域的构象评分的负影响最为显著,仅在东、西、南有负影响,但低于显著水平。打个比方,被认为“个头高”、“肚子小”的猪在中国的贸易商中表现出更强的市场偏好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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