基于典型案例分析的智慧农业应用路径研究
中图分类号 S126;F327.54 文献标志码A 文章编号 1007-7731（2026）06-0138-03
DOI号10.16377/j.cnki.issn1007-7731.2026.06.037
Research on the application path of smart agriculture based on typical case analysis
Ding Di
（Anhui Provincial Agricultural Information Center，Hefei23Ooo1，China）
AbstractBasedon typical cases of smart agriculture in Anhui Province，this article systematicalyanalyzed the current status ofdigital applications，the areas thatneed improvement，and provided targetedrecommendations.In the studyarea，certainachievementshave beenmadeinthedigital transformationoffieldplanting，facilitycultivation， livestock and poultry breeding，andaquaculture through measures such as the constructionof high-standard farmland demonstrationareaswith integrated waterand fertilizermanagement，and theestablishmentofa“six-in-one” （industrial layout，IoTmonitoring，pestanddisease identification，fertilizerandwatercontrol，safetytraceability，and online sales）digital system.However，inthe process of practicalapplication，there is roomforimprovement in data sharing，depthof technologyapplication，investmentmechanismandreturn，andtalentdevelopment.Basedonthis，the following developmentsuggstions areproposed： establish aunified agricultural production service platform to integrate agricultural-related dataand improve theaccuracyandutilization of data resources;createan innovation ecosystemof “demand-oriented-collaborative research-service penetration”topromote thetransformation oftechnological achievements；establish diversified financing channels toreducecosts foragricultural producersand increase heir enthusiasm forapplying information technologies；andbuilda coordinated talent training systemof“introducecultivate-utilize”to cultivate compound talents who understandboth agricultural knowledge and information technology.This article provides a referencefor thedevelopment of smart agriculture in relevant regions.
Keywordssmart agriculture; digital transformation; agricultural production eficiency; talentdevelopment
智慧农业作为以物联网、大数据、人工智能等信息技术为支撑的新型农业形态，通过数据要素驱动农业生产全链条的智能化与精准化，是突破常规农业资源约束、提升农业生产效率的关键路径之一。（剩余3550字）
