■本研究旨在开发一种基于数字图像处理的荟萃分析预测肉牛体重的方法。
■荟萃分析过程开始于收集关键词“肉牛,\“\”相关性,\"\"数字图像,“和”体重“来自谷歌学者和科学直接。所获得的研究是根据标题审查的论文,摘要,和内容,然后按作者分类,Year,国家,样本量,和相关系数。使用的身体测量数字图像包括枯萎和臀部高度,胸部深度,心围,身体长度,和顶视图。通过使用相关系数和样本量计算效应大小进行统计分析。
■荟萃分析的结果,基于来自13项选定研究的3017头牛,显示了顶视图变量和臀部高度的最高和最低相关系数。基于牛的品种,Hanwoo在枯萎高度变量中观察到显着差异(p<0.05),相关系数为0.94、0.79和0.66,Holstein,还有Simmental,分别。基于性别,在枯萎高度变量中观察到显著差异(p<0.05),男性相关系数为0.73,女性相关系数为0.90,而对于臀部高度,值分别为0.70和0.87.
■总而言之,为了实现基于数字图像预测肉牛体重的最佳准确性,可以使用顶视图变量。然而,为了便于现场实验,身体长度或胸部深度也可以使用,同时采取品种和性别类别进入模型。
UNASSIGNED: This
study aimed to develop a method for predicting the body weight of beef cattle using meta-analysis based on digital image processing.
UNASSIGNED: The meta-analysis process commenced by collecting studies with the keywords \"beef cattle,\" \"correlation,\" \"digital image,\" and \"body weight\" from Google Scholar and Science Direct. The obtained studies were reviewed papers based on their titles, abstracts, and content, and then categorized by authors, year, country, sample size, and correlation coefficient. A digital image of body measurements used included wither and hip height, chest depth, heart girth, body length, and top view. The statistical analysis was conducted by calculating effect sizes using the correlation coefficient and sample sizes.
UNASSIGNED: The results of the meta-analysis, based on 3,017 cattle from 13 selected studies, showed the highest and lowest correlation coefficients for the top view variable and hip height. Based on cattle breed, significant differences (p < 0.05) were observed in the wither height variable with correlation coefficients of 0.94, 0.79, and 0.66 for Hanwoo, Holstein, and Simmental, respectively. Based on sex, significant differences (p < 0.05) were seen in the wither height variable, with correlation coefficients of 0.73 for males and 0.90 for females, while for hip height, the values were 0.70 and 0.87, respectively.
UNASSIGNED: In conclusion, to achieve the best accuracy in predicting the body weight of beef cattle based on a digital image, the top view variable can be used. However, for ease of field experimentation, body length or chest depth can also be used while taking breed and sex categories into the model.