智慧茶园关键技术体系研究综述:现状、挑战与突破方向OA
Overview of Key Technology System Research in Smart Tea Gardens:Current Status,Challenges,and Directions for Breakthroughs
随着智慧农业技术的发展,茶园管理正逐步迈向数字化与智能化.为构建智能化茶园种植的技术框架、破解当前存在的技术瓶颈,并探讨其未来发展方向,围绕智慧茶园的发展路径与关键技术展开系统探讨.综述了智慧茶园在"天空地"一体化感知、信息传输、智能分析与远程控制等方面的技术体系及研究进展,指出当前在数据采集不全面、处理能力不足、系统可视化与智能决策水平有限等方面仍存在的问题,制约其精细化管理与应用推广.为此,提出了从"数字茶树"到"数字茶园"的建模路径,构建了融合数字孪生技术的智慧茶园系统模型,并进一步展望智慧茶园向全产业链协同管理、多源数据融合、区块链溯源与智能物流联动的未来演进方向.结果可为茶园种植的智能化、系统化与可持续发展提供理论参考与技术支撑.
With the advancement of smart agriculture technologies,tea plantation management has been progressively moving toward digitalization and intelligentization.To establish a technical framework for intelligent tea cultivation,address existing technological bottlenecks,and explore future development directions,the development pathways and key technologies of smart tea gardens were systematically reviewed.The technical systems and recent progress in integrated"sky-air-ground"sensing,information transmission,intelligent analysis,and remote control were summarized.Several critical limitations were identified,including incomplete data acquisition,insufficient processing capabilities,limited system visualization,and underdeveloped intelligent decision-making,which had hindered the precision management and widespread application of smart tea gardens.In response,a modeling approach from"digital tea trees"to"digital tea gardens"was proposed,and a smart tea garden system model integrated with digital twin technology was developed.Furthermore,it envisioned the future evolution of smart tea gardens toward full industry-chain collaborative management,multi-source data integration,blockchain-based traceability,and intelligent logistics coordination.Above results provided theoretical insights and technical support for the intelligent,systematic,and sustainable development of tea plantation management.
陈灏敏;张璇;康洪玮;缪婉莹;王静
云南农业大学建筑工程学院,昆明 650201云南农业大学建筑工程学院,昆明 650201云南农业大学水利学院,昆明 650201云南农业大学水利学院,昆明 650201云南农业大学水利学院,昆明 650201||云南省智慧农业与水安全国际联合研发中心,昆明 650201
农业科技
智慧茶园物联网数字孪生信息感知
smart tea gardeninternet of things(IoT)digital twininformation perception
《中国农业科技导报》 2026 (9)
87-101,15
国家重点研发计划项目(2023YFD1901203)云南省农业联合专项基金项目(202301BD070001-173)云南省重点研发计划项目(202203AC100004).
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