智慧农业驱动下的大数据人才培养体系构建与实践

中图分类号 G642.0;S24 文献标识码A 文章编号 1007-7731(2025)14-0126-03

DOI号 10.16377/j.cnki.issn1007-7731.2025.14.029

Construction and practice of big data talent training system driven by smart agriculture

ZHANG Yaojun LIU Haoran WU Guiling (School of Information Engineering,Xinyang Agriculture and Forestry University,Xinyang 464Ooo, China)

AbstractTo meet thedemand forbigdatatalents inthedevelopmentof smartagriculture,thecurentsituationof talentcultivation system wasanalyzed from the aspectsofteaching content and practical teaching,and the targeted measures were proposed.At present,there are problems inthe talent cultivationsystem foragricultural bigdata,such as insuficient interdisciplinaryintegration,dificultyinkeepingupwithindustrydevelopmenttrends,lackofsufcient practical teaching bases and dificultyin evaluating practical effects,andshallow implementation ofbigdata practical teaching.Based on this，the folowing improvement measures are proposed.Optimize curiculum design，add interdisciplinarycontent,and ensure that teaching content keeps pacewith the times;innovate teaching models,use project-based teaching methods，and createinteligent onlineand ofline teaching platforms;strengthen practical teaching and guide students toactively participate in horizontal projects commisioned by enterprises; deepen school enterprisecooperation,use schol enterprise joint construction to buildabig data practice platform for simulating agricultural production,and invite enterprise expertsas external mentors;improve the evaluation system and establish an evaluation system that combines knowledge mastery( 40% )，practicalability( 30% ),innovation literacy( 20% ), and professional competence ( 10% ). Practice has shown that this talent cultivation system can improve students’knowledge mastery,practicaloperationskilsinovationabilityrofeioaletcsndsoon.Tisrticleprovidesaercefor cultivating high quality talents to meet the development needs of big data.

Keywordssmart agriculture; big data; Internet of Things;agricultural digitization

近年来，大数据技术、物联网技术、云计算技术等持续发展，智能化的现代农业已成为科技发展的必然趋势。（剩余4375字）