基于大数据的智能灌溉决策系统设计研究

Design and Research of Intelligent Irrigation Decision System Based on Big Data

目前,我国农业灌溉作业中,灌溉系统智能化、自动化程度不高,不仅无法高效率完成灌溉作业,且造成水资源的严重浪费,导致在一定程度上阻碍我国的农业发展。为此,提出了基于大数据的智能灌溉决策系统,并采用卷积神经网络和模糊控制对灌溉用水量进行预测控制,设计了一种智能灌溉系统。试验结果表明:该算法可正确预测农田用水量,达到节约水资源的目的。

As a large agricultural country,China has a large area of farmland coverage,which requires a lot of irrigation water,but the utilization rate of farmland irrigation water resources is not ideal.In the agricultural irrigation operation,the irrigation system is not intelligent and automatic enough,which not only cannot help the staff to complete the irrigation operation efficiently,but also causes a serious waste of water resources,which to some extent hinders the agricultural development in China.Based on the above phenomena,this paper proposes an intelligent irrigation decision-making system based on big data,which adopts convolutional neural network and fuzzy control to predict and control the irrigation water consumption,and designs an intelligent irrigation system.The experimental results show that the algorithm can correctly predict the farmland water consumption and achieve the purpose of saving water resources.