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基于农业互联网平台的灌溉监测信息系统研究 被引量:1

Research on Irrigation Monitoring Information System Based on Agricultural Internet Platform
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摘要 为进一步提高我国农作物智能灌溉系统的作业效率,基于农业互联网平台,针对其灌溉监测信息处理环节展开研究。以大数据及SOA平台为核心架构,建立土壤环境参数与灌溉系统数据监测之间的内在关系,完成监测信息的布局设计与精准灌溉作业实现。进行系统在互联网平台下的灌溉试验验证,结果表明:基于农业互联网平台的灌溉监测信息系统改进后,各灌溉模块的功能运转效率得到显著提升,信息监测准确率与系统控制精准度分别提升至95.56%与94.51%,灌溉系统效率相对平台应用前提升了7.79%。所设计的联网平台架构下的灌溉系统整体改善效果明显,是我国向智慧农业方向迈进的重要基础,对于类似智能灌溉装备广泛推广有重要的参考价值。 In order to further improve the operation efficiency of the intelligent irrigation system for crops in China,the irrigation monitoring information processing link was studied based on the agricultural Internet platform.With big data and SOA platform as the core architecture,the internal relationship between soil environmental parameters and irrigation system data monitoring was established to finish the layout design of monitoring information and the realization of precision irrigation operation.The irrigation test verification of the system under the Internet platform showed that the improvement of irrigation monitoring information system based on the agricultural Internet platform had significantly improved the func-tional operation efficiency of each irrigation module,and the information monitoring accuracy and system control accuracy had been increased to 95.56%and 94.51%respectively,and the irrigation system efficiency had been increased by 7.79%compared with that before the application of the platform.The overall improvement effect of the irrigation system under the framework of the Internet platform was obvious,which would be an important foundation for China to move to-wards the smart agriculture,and be important practical value for the wide promotion of the similar intelligent irrigation equipment.
作者 李红莎 Li Hongsha(Shangqiu Polytechnic,Shangqiu 476100,China)
出处 《农机化研究》 北大核心 2024年第8期221-225,共5页 Journal of Agricultural Mechanization Research
基金 河南省大中专院校就业创业研究项目(GYB2019336)。
关键词 灌溉系统 互联网平台 土壤环境参数 信息监测准确率 智慧农业 the irrigation system the Internet platform soil environmental parameters the information monitoring accu-racy smart agriculture
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