一个动态系统来控制未经授权的访问者的入口,并检测强烈互联的系统中超级扩散农场
Oscar Soriano1, Laura Batista2, Joaquin Morales1
1Animal Data Analytics, SL, 40006 Segovia, Spain.
Animals : an open access journal from MDPI
|October 26, 2024
概括
本研究介绍了Biorisk® External,这是一个数字平台,通过通过QR码和GPS跟踪访客访问来增强牲畜生物安全. 它确定了高风险的农场,改善了疾病预防和动物生产的运营效率.
科学领域:
- 农业科学 农业科学
- 兽医公共卫生 兽医公共卫生
- 信息技术在农业中的应用
背景情况:
- 畜牧业在生物安全,动物福利和抗生素使用方面面临着挑战.
- 需要先进的信息和通信技术 (ICT) 来提高可持续性和决策.
- 目前的生物安全措施需要技术增强,以有效管理风险.
研究的目的:
- 引入和评估Biorisk®外部平台,以优化畜牧业生物安全管理.
- 分析访客模式和遵守生物安全标准操作程序 (SOPs) 的情况.
- 为了确定疾病传播的高风险互联农场 ("超级传播者").
主要方法:
- 部署Biorisk® External,一个基于云的系统,使用QR码和GPS进行访问控制.
- 分析了来自142个猪生产场所和30个车辆移动模式的6个月数据 (2023年7月至12月).
- 访问的分类 (授权,未授权访问,未授权访问) 和网络分析以确定疾病传播风险.
主要成果:
- 分析了访问模式和生物安全标准操作程序的遵守情况.
- 该系统提供了一个基于访问授权的生物安全风险评估框架.
- 网络分析确定了具有重大疾病传播潜力的"超级传播"农场.
结论:
- 像Biorisk® External这样的数字系统对于改善牲畜生物安全措施至关重要.
- 实时数据输入和知情决策通过技术整合得到便利.
- 通过技术加强生物安全保护动物健康,提高效率,减少经济损失.
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