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作 者:李晓红[1] LI Xiaohong(School of Information Science and Engineering,Shaoyang University,Shaoyang Hunan 422000)
机构地区:[1]邵阳学院信息科学与工程学院,湖南邵阳422000
出 处:《软件》2025年第1期1-3,共3页Software
基 金:湖南省自科基金省市联合基金项目“农业数据智能化分析与个性化推荐关键技术研究”(2022JJ50185)。
摘 要:随着全球农业的快速发展和科技的不断进步,个性化农业服务成为提高农业生产率、保障粮食安全的重要手段。本文围绕个性化农业服务平台的架构设计与关键技术进行了深入研究。首先,明确了个性化农业服务平台的研究目标,为农民提供定制化的建议、服务及解决方案。其次,提出了一个以用户为中心的农业服务平台框架,该框架集成了数据采集、信息分析、决策支持和服务交付四大核心模块。最后,针对个性化农业服务信息综合评价进行了详细研究,并建立了可视化个性化农业服务平台。结果表明,个性化农业服务平台的架构设计与关键技术的有效实施为现代农业的智能化和数字化转型提供重要支撑。With the rapid development of global agriculture and continuous advancement of technology,personalized agricultural services have become an important means to improve agricultural productivity and ensure food security.This article conducts in-depth research on the architecture design and key technologies of a personalized agricultural service platform.Firstly,the research objectives of the personalized agricultural service platform have been clarified,providing customized suggestions,services,and solutions for farmers.Secondly,a user centered agricultural service platform framework was proposed,which integrates four core modules:data collection,information analysis,decision support,and service delivery.Finally,a detailed study was conducted on the comprehensive evaluation of personalized agricultural service information,and a visual personalized agricultural service platform was established.The results indicate that the architecture design and effective implementation of key technologies for personalized agricultural service platforms provide important support for the intelligent and digital transformation of modern agriculture.
分 类 号:TP399[自动化与计算机技术—计算机应用技术]
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