摘要
智慧畜牧业是指运用物联网、大数据、云计算、人工智能等现代信息技术手段,对畜牧业生产、管理和服务进行智能化升级的产业。智慧畜牧业的发展可以提高畜牧业的生产效率、降低生产成本、优化产业结构、提升产品质量和安全性,有助于实现畜牧业的可持续发展。论文对智慧畜牧业下的疾病防控新技术进行了综述,主要包括智能化监测与预警、生物技术、免疫接种、环境卫生与消毒、智能化养殖管理、饲料安全、流行病学调查与风险评估等。通过以上新技术的应用,智慧畜牧业可以实现对疫病的及时发现、有效控制和快速应对,为畜牧业的健康发展提供有力保障。
Intelligent animal husbandry refers to an industry that uses modern information technology means such as the Internet of Things,big data,cloud computing and artificial intelligence to upgrade the production,management and service of animal husbandry to an intelligent level.The development of intelligent animal husbandry can enhance the production efficiency of animal husbandry,reduce production costs,optimize the industrial structure,improve product quality and safety,and help achieve the sustainable development of animal husbandry.This paper reviews the new technologies for disease prevention and control in intelligent animal husbandry,mainly including intelligent monitoring and early warning,biotechnology,immunization,environmental hygiene and disinfection,intelligent breeding management,feed safety,epidemiological investigation and risk assessment,etc.Through the application of these new technologies,intelligent animal husbandry can achieve timely detection,effective control and rapid response to diseases,providing a strong guarantee for the healthy development of animal husbandry.
作者
丁涵
吉林台
吴丹
DING Han;JIRINTAI S;WU Dan(The Modern Agriculture and Animal Husbandry Research Center,Department of Agriculture and Animal Husbandry,Inner Mongolia Open University,Hohhot,Inner Mongolia 010011,China;College of Veterinary Medicine,Inner Mongolia Agricultural University,Hohhot,Inner Mongolia 010018,China;Institute of Science and Technology,Chuxiong Normal University,Chuxiong,Yunnan 675000,China)
出处
《动物医学进展》
北大核心
2025年第10期119-125,共7页
Progress In Veterinary Medicine
基金
内蒙古自治区教育厅基金项目(NJZZ22490)
云南省教育厅科学研究基金项目(2025J0933)。
关键词
智慧畜牧业
智能化监测与预警
疾病诊断与治疗
疾病防控
生物技术
Intelligent animal husbandry
Intelligent monitoring and early warning
Disease diagnosis and treatment
Disease prevention and control
Biotechnology
