【摘要】 在全球数字经济浪潮中，AI、云计算、大数据等科技革命性地重塑经济民生，驱使农业迈入数据导向的数字纪元。农业经历了手工作业、机械化至初步自动化，现正快速步入新一代信息技术引领的智慧农业时代。本文聚焦于边缘计算驱动的智慧农业构建，这一技术范式对于克服农业数据管理和决策难题至关重要。边缘计算凭借数据近源处理，实现数据的实时分析与低延迟响应，展现对农业基础设施局限的高适应性和稳定性。实证研究数据表明，集成边缘智能方案极大提升了数据处理能力并降低成本，验证了其在协同作用下效率显著提升的潜力。研究不仅关注生产效率的提升，还深入分析边缘计算在农业数据处理与决策中的多元效益，涵盖经济效益、社会及生态层面；不仅巩固了农产品市场稳定与可持续发展的根基，还为智慧农业的创新实践与未来发展提供了坚实的理论框架和战略导向。更多还原

【Abstract】 In the wave of global digital economy, AI, cloud computing, big data and other technologies were revolutionizing the economy and livelihoods, driving agriculture into a data-oriented digital era. Agriculture has experienced manual work, mechanization to initial automation, and is now rapidly stepping into the era of smart agriculture led by the new generation of information technology. The construction of smart agriculture driven by edge computing was focused on, a technological paradigm that is essential to overcome the challenges of agricultural data management and decision making. By virtue of near-source processing of data, edge computing enables real-time analysis and low-latency response of data, demonstrating high adaptability and stability to the limitations of agricultural infrastructure. Empirical research data show that integrated edge intelligence solutions greatly enhance data processing capabilities and reduce costs, validating their potential for significant efficiency gains under synergistic effects. It not only focuses on the improvement of production efficiency, but also deeply analyzes the multiple benefits of edge computing in agricultural data processing and decision making, covering economic benefits, social and ecological dimensions. It not only strengthens the foundation of agricultural market stability and sustainable development, but also provides a solid theoretical framework and strategic guidance for the innovative practice and future development of smart agriculture.更多还原