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基于大数据下智慧农业研究进展与发展趋势

秦应奋

现代农业研究2025,Vol.31Issue(6):18-25,8.
现代农业研究2025,Vol.31Issue(6):18-25,8.

基于大数据下智慧农业研究进展与发展趋势

Research Progress and Development Trend of Smart Agriculture Based on Big Data

秦应奋1

作者信息

  • 1. 西南林业大学水土保持学院 云南,昆明 650224
  • 折叠

摘要

Abstract

With the rapid advancement of new-generation information technologies,smart agriculture is becoming a key pathway for China's agricultural modernization,driving the transformation of traditional agriculture toward digitalization,intelligence,and sustainability.This paper provides a systematic review of the core concepts,technical architecture,and system components of smart agriculture.It distinguishes smart agriculture from precision and digital agriculture,and highlights recent research progress in key technologies such as IoT,big data,remote sensing,and artificial intelligence.The paper also analyzes representative application cases and identifies current challenges in system integration,regional adaptation,and policy support.Based on China's national context,it proposes future development directions focused on multi-source data integration,intelligent decision-making,and localized smart solutions.The study concludes that smart agriculture will play a crucial role in achieving high-quality agricultural development and rural revitalization.

关键词

智慧农业/信息技术/系统架构/技术融合/乡村振兴

Key words

smart agriculture/information technology/system architecture/technology integration/rural revitalization

分类

农业科技

引用本文复制引用

秦应奋..基于大数据下智慧农业研究进展与发展趋势[J].现代农业研究,2025,31(6):18-25,8.

基金项目

云南省重大科技专项子课题"旱地水稻病虫草鼠害绿色防控关键技术研究及应用"(项目编号:202202AE090036) (项目编号:202202AE090036)

云南省重大科技专项"旱地水稻种业创新与示范"(项目编号:202402AE090026). (项目编号:202402AE090026)

现代农业研究

2096-1073

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