APP下载

智慧农业技术在茶产业的应用研究进展

2025-08-13张承屏李贺军吉孝磊刘超唐荐

农业研究与应用 2025年3期
关键词:茶园茶叶

中图分类号:S126;TS272;F323 文献标志码:A

Abstract: China has unique geographical and climatic conditions,as well as a long tradition of tea culture,and the tea industry is an important partof China'sagricultural economy.However,the traditional tea industry has problems such as high labor dependence,low production effciency,insufficient standardization,unstable tea quality,and weak coordination of allinks in the industrial chain.At the same time,under the background of intensified competition in the international market and increasing domestic demand for high-quality and organic tea,China’s tea industry is facing challenges such as improving quality and production eficiency,enhancing industrial value,and transformation and upgrading of the industrial chain. Therefore,exploring new production methods and technical means has become the key to promoting the development of the tea industry. Targetting at the pain points of traditionaltea industry,smart agriculture technologies can provide systematic solutions for industrial upgrading in response to the shortcomings of the traditional tea industry. Therefore,it is important to understand the application methods and progress of smart agriculture technology in the tea industry chain to upgrade and transform the smart tea industry. This paper summarized the application progress of the current main smart agriculture technologies,including the internet of things(IoT),cloud computing,blockchain,big data,artificial intelligence(AI)and other new digital technologies in the tea industry,especially in systematical and specific application in the tea industry chain covering tea production,processng,circulation and sales,including intelligent tea garden management,intelligent havesting,automated processing, intelligent warehousing and logistics,market analysis,and tea traceability system construction,in order to provide a reference for the upgrading and transformation of the tea industry and the sustainable development of the industry. The application of these smart agricultural technologies has promoted the tea industry to form an intelligent and high-standard tea industry chain,promote the sustainable development of the tea industry,and enhance the international competitive ability.

Keywords:Smart agriculture; tea industry; internet of things;big data; artificial intelligence

0 引言

茶叶作为我国传统农产品,历来具有重要的经济和文化价值,近年来,随着人民生活水平的提高和健康意识的增强,茶产业已成为我国农业经济的重要组成部分。然而,传统茶产业正面临诸多挑战:传统茶叶生产方式主要依赖密集的劳动力,当前乡村人口流失与老龄化问题严重,存在劳动力短缺、人工成本逐年上涨的压力;在茶园的管理上,气候多变、极端天气频发以及病虫害的发生,会直接影响茶叶的产量和品质;传统茶园依赖经验施肥的粗放管理方式,导致生产效率低,标准化不足,产品质量难以保证,并且很难适应现代市场对茶叶高品质、品牌化的需求,严重制约了茶产业的可持续发展。

为此,将现代信息技术与农业生产相结合的智慧农业技术应运而生,为茶产业转型升级提供了新的契机。我国茶叶种植区域广泛,品种繁多(王雪萍等,2024),产量和消费量均居世界首位。据国际茶叶委员会统计数据,近年来我国茶叶产量逐年上升,茶叶出口额也保持稳定增长,2023年,我国茶叶年产量已达到660.4万t,茶叶出口量同比增长 1.9% (王东铭,2024)。然而,在面临国际新兴产茶国印度、斯里兰卡等国崛起(王庆,2024)和国内对高品质、有机茶叶的需求日益增加的背景下,我国茶产业面临着品质提升、生产效率提高、产业链优化等挑战。因此,探索应用新的生产方式和技术手段成为推动茶产业发展的关键。智慧农业技术包括物联……

登录APP查看全文

猜你喜欢

茶园茶叶
基于高通量测序对不同茶园土壤真菌群落结构特征的分析
岑溪市茶叶种植机械化现状及发展前景
不同施肥方式对六堡茶品质及茶园土壤质量的影响
2025年中国农业科学院茶叶研究所研习班招生计划
茶园光伏技术应用研究进展与展望
我国低产低效茶园改造研究进展及展望
间作林木对茶园土壤真菌群落结构及功能的影响
茶树病虫害发生与绿色防控的有效实施及推广应用分析
绿色无公害茶叶高效种植与管理技术的实践经验探讨
茶园有害生物绿色防控实践与思考