农机数字化大数据管理平台的设计——基于电子商务平台重复客户预测模型
Design of Digital Big Data Management Platform of Agricultural Machinery——Based on the Repeated Customer Prediction Model of E-commerce Platform
张璐1
作者信息
- 1. 河南工业职业技术学院,河南 南阳 473000
- 折叠
摘要
随着信息技术和农机现代化的加速推进,数字化农机管理已成为当今农业发展的重要趋势.为此,基于电子商务平台重复客户预测模型,提出了一种基于Hadoop和物联网的农机数字化大数据管理平台,旨在将传统农业生产与信息技术有机结合,实现农机作业数据的实时监测、质量分析、预测与预警、决策支持等功能,为农机作业的自动化和精准化提供有力保障.
Abstract
With the rapid development of information technology and the acceleration of agricultural machinery moderniza-tion,it has become an important trend of agricultural development for digital agricultural machinery management.Based on the repeated customer prediction model of E-commerce platform,it proposes a digital big data management platform for agricultural machinery based on Hadoop and the Internet of Things,which aims to organically combine traditional agricul-tural production and information technology.It realize the functions of real-time monitoring,quality analysis,prediction and early warning,and decision support of agricultural machinery operation data,which provides a strong guarantee for the automation and accuracy of agricultural machinery operation.
关键词
数字化农机/大数据/电子商务/预测模型/Hadoop/重复客户Key words
digital agricultural machinery/big data/electronic commerce/prediction model/Hadoop/repeated customer引用本文复制引用
出版年
2025
国家科技期刊平台
NSTL
万方数据