摘要
随着农业生产规模的扩大,农田信息管理难度越来越大。传统农田信息管理主要以人工采集信息和主观经验管理为主,信息采集效率低、不全面,且实时性不高,管理效果差。为解决农田信息管理存在的诸多问题,深入研究了信息融合技术,建立了信息融合功能模型,并将其应用在农田信息管理中,完成了基于信息融合的农田智能化管理系统的应用研究。同时,优化设计了智能化管理系统的总体方案,完成了信息融合算法的结构设计及运算流程设计,并利用信息融合算法进行功能测试。测试结果表明:基于信息融合的农田智能化管理系统能够准确预测温度变化趋势,为指导农业生产提供较好的作业决策,实现了对大范围农田信息的智能综合管理,可以减少水源、肥料及电能等各方面的浪费,具有较大的推广价值。
With the expansion of agricultural production,farmland information management becomes more and more difficult.Traditional farmland information management is mainly based on manual collection of information and subjective experience management.The efficiency of information collection is low,incomplete,and real-time is not high.At the same time,farmland information management mostly relies on subjective experience and the management effect is poor.In order to solve many problems in farmland information management,this paper deeply researches information fusion technology,establishes information fusion function model,studies the process of information fusion processing,and applies it to farmland information management,and completes an intelligent farmland management system based on information fusion.The application research of the intelligent management system,the optimization of the overall plan of the intelligent management system,the in-depth study of the information fusion algorithm,the completion of the structure design of the information fusion algorithm and the design of the calculation process,and the optimization of the operation page of the farmland intelligent management system,and finally the use of the information fusion algorithm function test.The test results show that the farmland intelligent management system based on information fusion can accurately predict the temperature change trend and provide better operation decisions for guiding agricultural production.At the same time,the farmland intelligent management system can realize the intelligent comprehensive management of large-scale farmland information.To a certain extent,it can reduce the waste of water,fertilizer,electricity and other aspects,greatly save labor and production costs,and has a greater promotion value.
作者
刘晓
Liu Xiao(Shaanxi Vocational and Technical College,Xi'an 710000,China)
出处
《农机化研究》
北大核心
2023年第5期215-219,共5页
Journal of Agricultural Mechanization Research
基金
陕西省教育厅2019年度专项课题(19JK0220)。
关键词
农田信息
智能化管理
信息融合
决策
预测
farmland information
intelligent management
information fusion
decision-making
forecast
