Performance of Cow Evaluation System Elements in Simulated Environmental Conditions

S. Yurochka, I. Dovlatov, A. Khakimov, I. V. Komkov, D. Y. Pavkin, S. O. Bazaev
{"title":"Performance of Cow Evaluation System Elements in Simulated Environmental Conditions","authors":"S. Yurochka, I. Dovlatov, A. Khakimov, I. V. Komkov, D. Y. Pavkin, S. O. Bazaev","doi":"10.22314/2073-7599-2024-18-1-101-107","DOIUrl":null,"url":null,"abstract":"Animal phenotype assessment plays a crucial role in enhancing the genetic potential of domestic breeds. Currently, research is underway to digitize and automate phenotyping through optical systems, enabling the recognition and evaluation of animals’ linear parameters. A prototype of a non-contact monitoring system for livestock phenotype indicators is currently under development. The movement of animals within the model (a laboratory measuring stand) is restricted by a specially designed transparent barrier made of polyethylene terephthalate, enabling the capture of three-dimensional photographs of the animals’ exterior. To validate the suitability of glass for this purpose, laboratory tests were conducted. (Research purpose) The research aims to determine the degree of relationship between protective glass contamination and the accuracy of the optical animal recognition system. (Materials and methods) The paper outlines the specifications of the laboratory stand, facilities, and equipment used, along with the methods employed and experimental conditions. The probability of determining the degree of protective glass contamination was quantified on a scale of 0 to 1, with a value of 0.78 indicating a high likelihood of accurate determination. (Results and discussion) The findings reveal that the system for determining the linear parameters of animals can operate reliably even when the protective glass is contaminated up to 30 percent. When the contamination reaches 50 percent due to inadequate glass cleaning, the system’s ability to recognize points of interest reduces by a factor of 1.625. Furthermore, at 80 percent contamination, achieving high-quality data collection becomes unfeasible as the camera fails to recognize the object. Proper cleaning of the glass is imperative to maintain the system stability. (Conclusions) The optical system enables the recognition and evaluation of animals’ linear parameters, provided that the protective glass of the laboratory stand is contaminated by no more than 50 percent and undergoes high-quality cleaning. At lower levels of glass contamination, up to 30 percent, these estimates exhibit a 2.6-38 percent increase compared to other contamination levels.","PeriodicalId":183078,"journal":{"name":"Agricultural Machinery and Technologies","volume":" 12","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Agricultural Machinery and Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22314/2073-7599-2024-18-1-101-107","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Animal phenotype assessment plays a crucial role in enhancing the genetic potential of domestic breeds. Currently, research is underway to digitize and automate phenotyping through optical systems, enabling the recognition and evaluation of animals’ linear parameters. A prototype of a non-contact monitoring system for livestock phenotype indicators is currently under development. The movement of animals within the model (a laboratory measuring stand) is restricted by a specially designed transparent barrier made of polyethylene terephthalate, enabling the capture of three-dimensional photographs of the animals’ exterior. To validate the suitability of glass for this purpose, laboratory tests were conducted. (Research purpose) The research aims to determine the degree of relationship between protective glass contamination and the accuracy of the optical animal recognition system. (Materials and methods) The paper outlines the specifications of the laboratory stand, facilities, and equipment used, along with the methods employed and experimental conditions. The probability of determining the degree of protective glass contamination was quantified on a scale of 0 to 1, with a value of 0.78 indicating a high likelihood of accurate determination. (Results and discussion) The findings reveal that the system for determining the linear parameters of animals can operate reliably even when the protective glass is contaminated up to 30 percent. When the contamination reaches 50 percent due to inadequate glass cleaning, the system’s ability to recognize points of interest reduces by a factor of 1.625. Furthermore, at 80 percent contamination, achieving high-quality data collection becomes unfeasible as the camera fails to recognize the object. Proper cleaning of the glass is imperative to maintain the system stability. (Conclusions) The optical system enables the recognition and evaluation of animals’ linear parameters, provided that the protective glass of the laboratory stand is contaminated by no more than 50 percent and undergoes high-quality cleaning. At lower levels of glass contamination, up to 30 percent, these estimates exhibit a 2.6-38 percent increase compared to other contamination levels.
奶牛评估系统元件在模拟环境条件下的性能
动物表型评估对提高家畜品种的遗传潜力起着至关重要的作用。目前,通过光学系统实现表型数字化和自动化的研究正在进行之中,从而能够识别和评估动物的线性参数。牲畜表型指标非接触监测系统的原型目前正在开发中。动物在模型(实验室测量台架)内的移动受到专门设计的聚对苯二甲酸乙二醇酯透明屏障的限制,因此可以拍摄动物外部的三维照片。为了验证玻璃是否适用于这一目的,进行了实验室测试。(研究目的)该研究旨在确定保护玻璃污染与光学动物识别系统准确性之间的关系程度。(材料和方法)本文概述了所使用的实验台、设施和设备的规格,以及所采用的方法和实验条件。确定保护玻璃污染程度的概率按 0 到 1 的比例进行量化,0.78 表示准确确定的可能性很高。(结果与讨论)研究结果表明,即使保护玻璃受污染的程度达到 30%,测定动物线性参数的系统也能可靠运行。由于玻璃清洁不充分,当污染达到 50% 时,系统识别感兴趣点的能力会降低 1.625 倍。此外,当污染率达到 80% 时,由于摄像头无法识别物体,因此无法实现高质量的数据采集。为了保持系统的稳定性,必须对玻璃进行适当的清洁。(结论)只要实验室台架的保护玻璃受污染程度不超过 50%,并经过高质量的清洁,光学系统就能识别和评估动物的线性参数。在较低的玻璃污染水平(最多 30%)下,与其他污染水平相比,这些估计值增加了 2.6%-38%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信