智慧农业导刊2025，Vol.5Issue(15)：5-9,5.DOI:10.20028/j.zhnydk.2025.15.002
乡村振兴战略背景下人工智能技术在畜禽疾病监测与预警系统中的挑战与对策
摘要
Abstract
In order to deeply discuss the application of artificial intelligence technology in livestock and poultry disease monitoring and early warning systems in the context of Rural Revitalization Strategy,this paper comprehensively analyzes the current development status,challenges faced by the livestock and poultry breeding industry and various artificial intelligence technologies,such as applications of expert systems,neural networks,image recognition,voice recognition and data analysis.The research reveals the restrictive effect of the high incidence and complexity of livestock and poultry diseases on the development of the breeding industry.It also points out that artificial intelligence technology faces risks of inaccurate technical quality and misjudgment during the application process,shortage of professional talents,data security and sharing,and data quality,and multiple issues such as integrity,cost and sustainability.In response to these challenges,this paper proposes to increase technology research and development efforts,strengthen talent training and technical training,promote the construction of data standardization and sharing mechanisms,build an intelligent livestock and poultry disease monitoring and early warning system,optimize costs and continuous innovation,etc.A series of measures and countermeasures aim to improve the efficiency of livestock and poultry disease prevention and control,ensure the healthy development of the breeding industry,and provide strong support for the sustainable development of the livestock and poultry breeding industry.关键词
乡村振兴战略/人工智能/畜禽疾病/监测与预警系统/挑战与对策Key words
rural revitalization strategy/artificial intelligence/livestock and poultry diseases/monitoring and warning system/challenges and countermeasures分类
信息技术与安全科学引用本文复制引用
吴冯莹,莫昌环,蓝小梅,刘彦麟,庞辉业,刘振强..乡村振兴战略背景下人工智能技术在畜禽疾病监测与预警系统中的挑战与对策[J].智慧农业导刊,2025,5(15):5-9,5.基金项目
国家级大学生创新创业训练计划项目(202416205001S) （202416205001S）
