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智能灌溉技术研究进展与实践 被引量:4

Research Progress and Practice of Smart Irrigation Technology
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摘要 在全球水资源短缺与农业用水需求持续增长矛盾日益加剧的背景下,智能灌溉通过物联网、大数据、人工智能等技术,实现了工程节水与信息节水的融合,为破解农业用水难题提供了新路径。通过梳理智能灌溉技术的发展需求及其在实时化感知、数据化决策、精准化管控及个性化服务等环节的系统组成及研究进展,剖析了该技术在提升作物生产效率、推进生产管理少人化及促进农业绿色发展等方面的优势,并结合作物生产实践案例论证了智能灌溉技术的节水节工增产效益;同时,在分析当前技术装备高成本、农艺农技融合度不足,复合型人才缺乏等现实挑战的基础上,对智能灌溉在多元感知、智能决策与装备标准建设等方面的发展趋势进行科学展望,以期为推动农业水资源高效利用提供理论支撑与实践参考。 Against the background of the increasing contradiction between the global water shortage and the continuous growth of agricultural water demand,smart irrigation realizes the integration of engineering water conservation and information water conservation through the information technologies such as Internet of Things,big data,artificial intelligence,etc.,which provides a new path to resolve the problem of agricultural water consumption.This paper sorted out the development needs of smart irrigation technology,described its system composition and research progress in real-time perception,data-based decision-making,precision control and personalized services;analyzed the advantages of this technology in improving crop production efficiency,promoting production management and promoting the green development of agriculture;combined with crop production cases to prove that the smart irrigation technology of water and labor saving and increasing the benefits of production;at the same time,analyzed the high cost of current technology and equipment,and analyzed the current water saving and information saving technology.At the same time,it analyzed the challenges of high cost of technology and equipment,insufficient integration of agronomy and agrotechnology,and lack of compound talents,and gave a scientific outlook on the development trend of intelligent irrigation in terms of multiple perception,intelligent decision-making,and standard construction of equipment,with a view to providing theoretical support and practical references for the promotion of efficient utilization of agricultural water resources.
作者 孙蕊卿 张石锐 张来喜 郭建波 郭圆圆 郑文刚 张钟莉莉 SUN Ruiqing;ZHANG Shirui;ZHANG Laixi;GUO Jianbo;GUO Yuanyuan;ZHENG Wengang;ZHANG Zhonglili(Information Technology Research Center,Beijing Academy of Agriculture and Forestry Sciences,Beijing 100097,China;Key Laboratory for Quality Testing of Software and Hardware Products on Agricultural Information,Ministry of Agriculture and Rural Affairs,P.R.CHINA,Beijng 100097,China;Beijing Changyang Farm Co.,Ltd.,Beijing 102446,China;NongXin Science&Technology(Beijing)Co.,Ltd.,Beijing 100097,China)
出处 《蔬菜》 2025年第7期1-11,共11页 Vegetables
基金 新疆兵团重点领域科技攻关计划项目(2023AB060) 国家重点研发计划课题(2023YFD1900702) 北京市农林科学院改革与发展项目(GGFZ20240111) 石家庄市科技计划项目(231490361)。
关键词 智能灌溉 人工智能 物联网 实时感知 灌溉决策 智慧管控平台 smart irrigation artificial intelligence Internet of Things(IoT) real-time sensing irrigation decision-making intelligent control platform
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