大数据时代智慧农业实验室管理创新策略研究  

Research on Innovative Management Strategies for Smart Agricultural Laboratories in the Era of Big Data

作　　者：韩勇[1] 费攀锋 霍迎秋[1] HAN Yong;FEI Pan-feng;HUO Ying-qiu(College of Information Engineering/Northwest A&F University,Yangling 712100,China)

机构地区：[1]西北农林科技大学信息工程学院,陕西杨凌712100

出　　处：《山东农业大学学报（自然科学版）》2024年第3期427-432,共6页Journal of Shandong Agricultural University：Natural Science Edition

摘　　要：大数据时代背景下,高校智慧农业实验室作为农业教育与科研的关键平台,面临管理革新需求。当前,这些实验室普遍采用的传统管理系统与智慧农业的快速发展不相匹配,限制了其潜能发挥。本文针对性地分析了智慧农业实验室的管理现状,并依托大数据技术,探索创新管理模式,旨在通过信息技术、智慧化及移动管理工具集成,优化资源配置与提升管理效率。提出的策略旨在最大化实验室资源效用,加速智慧农业教育与研究进程,推动该领域的持续创新与进步。In the context of the big data era,the smart agriculture laboratory in universities,as a key platform for agricultural education and research,faces the need for management innovation.Currently,the traditional management systems commonly used in these laboratories do not match the rapid development of smart agriculture,limiting its potential.This article analyzes the current management status of smart agriculture laboratories in a targeted manner,and explores innovative management models based on big data technology.The aim is to optimize resource allocation and improve management efficiency through the integration of information technology,intelligence,and mobile management tools.The proposed strategy aims to maximize the utility of laboratory resources,accelerate the process of smart agriculture education and research,and promote continuous innovation and progress in this field.

关 键 词：智慧农业 计算机实验室 大数据 管理创新 信息技术 

分 类 号：S126[农业科学—农业基础科学]