美国畜牧业数据的差距是有效环境和疾病管理的障碍
Rebecca Logsdon Muenich1,2, Sanskriti Aryal3, Amanda J Ashworth4
1Biological and Agricultural Engineering, University of Arkansas, Fayetteville, AR, United States of America.
概括
准确的牲畜数据对于环境和公共健康至关重要. 目前的数据限制阻碍了污染控制和疾病爆发监测,需要改进数据收集方法.
科学领域:
- 环境科学 环境科学
- 公共卫生 公共卫生
- 农业科学 农业科学
背景情况:
- 畜牧业的经营有助于重大环境和人类健康问题,包括污染和疾病传播.
- 现有的牲畜数据在时空尺度上往往是有限的,阻碍了全面的环境和健康管理.
- 目前的美国数据,如国家农业统计局人口普查,是县级的,不足以进行详细分析.
研究的目的:
- 突出在区域和国家范围内改善牲畜数据的迫切需要.
- 讨论目前可访问的牲畜数据的局限性.
- 探索创新方法,以提高牲畜数据的可用性.
主要方法:
- 审查现有的牲畜数据来源及其局限性.
- 探索用于数据采集的遥感技术.
- 机器学习技术的应用用于数据分析和改进.
主要成果:
- 关于牲畜的位置,密度和废物管理实践,存在重大数据缺口.
- 遥感和机器学习显示出改善畜牧数据细分度的前景.
- 目前的数据基础设施不足以有效应对环境和公共卫生问题.
结论:
- 加强畜牧业数据对于有效的环境保护和公共卫生战略至关重要.
- 未来的努力应该集中在整合遥感和机器学习,以填补数据缺口.
- 解决牲畜数据需求对于可持续的食品系统和疾病监测至关重要.
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