基于非洲猪瘟(ASF)控制协议的自动分区算法

Lovelyn C. Garcia, Maru Feriel O. Del Carmen, Jo-Ann V. Magsumbol, A. Bandala
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引用次数: 0

摘要

生猪生产是农业部门最大的畜牧活动之一。在所有畜产品中,猪肉是世界上除牛肉和鸡肉外消费量最大的肉类。然而,像非洲猪瘟(ASF)这样的猪疾病导致了高死亡率,并影响了养猪户的生产和生计。非洲猪瘟是一种不可治愈的猪疾病,一直在肆虐世界各地的猪群。由于这种疾病没有治愈方法和疫苗,控制和阻止病毒传播的方法之一是通过分区。其主要目的是隔离受感染的地区或城市,并限制交易过程,以实施所需的缓解控制。本工作在Matlab中开发了一种算法,可用于基于政府制定的1-7-10协议的分区过程。从怀疑的前提计算球面几何距离,并根据定义的协议对每个城市进行分类。将生成的输出与政府发布的分区数据进行比较,以确定算法的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Algorithm for Automatic Zoning based on African Swine Fever (ASF) Control Protocol
Pig production is one of the largest livestock activities in agricultural sector. Among all the livestock produce, pork is the most consumed meat in the world aside from beef and chicken. However, swine diseases like African Swine Fever or ASF resulted to high mortality rates and affect the production and the livelihood of the hog raisers. ASF is a non-curable disease of pigs and have been savaging the world's pig population. As this type of disease does not have cure and vaccine, one of the ways to control and stop the spread of the virus is through zoning. Its primary purpose was to segregate the infected locale or city and restrict the trading process to implement the required mitigation control. This work developed an algorithm in Matlab that can be used in the zoning process based on the 1-7-10 protocol set by the government. Spherical geometry distance was calculated from the suspected premise and classify each city based on the defined protocol. Generated output was compared to the zoning data released by the government to determine the accuracy of the algorithm.
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