重塑产业生态。针对产业发展中存在的问题和短板，推动数字技术从"单一赋能"向"生态重构"转 化，乡村产业从单一业态向多业态转变。在优化第一产业的基础上大力发展二三产业，充分发挥海量数 据和丰富应用场景优势，探索打造"农业+电商+加工""农业+文旅+数字""农业+服务+数字"等新业态新 模式，形成"农业+"多业态发展态势，增强乡村产业聚合力。 我国深入实施大数据战略和数字乡村战略，作出大力推进"互联网+"现代农业等一系列部署安排。 产业数字化快速推进，为乡村全面振兴注入新动能。据中国互联网络信息中心发布的第56次《中国互联 网络发展状况统计报告》，"十四五"期间，农业农村部累计支持建设国家智慧农业创新中心和分中心34 个、创新应用项目116个；信息技术与农业生产经营深度融合，截至2023年底，全国安装北斗终端的农 机数量达220万台；精准播种、植保无人机等加快推广应用，全国农业生产信息化率达27.6%；建成村 级寄递物流综合服务站34.6万个，支持1489个县建成县级电商公共服务中心、物流配送中心近3000个， 村级电商服务站点超过15.8万个，"寄递+农村电商+农特产品+农户"的新业态大面积推广。 乡村产业振兴 ...

Core Insights - The report by Shuo Yuan Consulting focuses on the current state, potential, and trends of the smart agriculture market in China, emphasizing the integration of digital technologies across the agricultural value chain [1][8][9]. Industry Overview - Smart agriculture is defined as a new model that integrates digital technology with the entire agricultural chain, characterized by digitization, intelligence, and precision, which enhances production efficiency and resource utilization [1][8]. - Successful case studies include strawberry cultivation in Dandong and smart dragon fruit bases in Guangxi, which have shown significant results and received policy support [1][8]. Policy and Macro Environment - Under the digital rural strategy, both national and local governments have introduced policies and increased financial investment to support smart agriculture [1][10]. - The collaboration between 5G and carbon neutrality technologies is crucial, with 5G ensuring data transmission and equipment control, while carbon neutrality technologies promote green transformation in agriculture [1][14]. Market Size and Growth Potential - The overall market size for smart agriculture is expected to exceed 100 billion yuan in 2024 and reach 120 billion yuan by 2025, with rapid growth in segments like greenhouse planting and livestock monitoring [1][16]. - The average annual growth rate for AGV/AMR shipments is projected to be 50% over the next five years [1][16]. Industry Chain and Challenges - The upstream technology supply is diverse, with AI terminals emerging as growth points, while downstream applications are expanding, particularly in traceability and smart agricultural machinery service models [2][27]. - Challenges include insufficient equipment standardization and closed data platforms, highlighting the need for unified standards and open platforms [2][27]. Competitive Landscape - Leading companies like TopCloud and Huawei dominate the market through technology and ecosystem advantages, while emerging firms leverage technological innovation and regional differentiation for competitive advantage [2][27]. - The industry faces challenges such as low acceptance among farmers and data security concerns, necessitating self-innovation and system improvement for scalable and ecological development [2][27]. Market Opportunities - The integration of soil moisture monitoring with agricultural e-commerce and the use of blockchain technology to enhance product trustworthiness present significant market opportunities [1][25]. - Data-driven precision agriculture is expected to grow, with the Ministry of Agriculture prioritizing it as a key direction for innovation from 2024 to 2028 [1][25].