基于物联网技术的土壤墒情监测系统应用研究

Application and Study of Soil Moisture Monitoring System Based on Internet of Things Technology

针对我国农业用水效率较低问题,基于物联网技术对土壤墒情监测系统进行应用研究,旨在根据土壤的墒情状态制定农田灌溉方案,达到节水的目的。该系统主要组成包括感知层、网络层和应用层。为了对土壤墒情进行准确的预测,采用物联网技术对土壤墒情进行监测,并建立BP神经网络模型进行土壤墒情预测。为了验证该监测系统的性能,采用实际的土壤墒情数据对系统进行训练并验证,结果表明:系统可以对土壤墒情进行准确的预测。

Aiming at the problem of low efficiency of agricultural water use in China,the soil moisture monitoring system based on the Internet of things technology was studied.To achieve the purpose of water saving,it could make the irriga-tion schemes according to the soil moisture state.The system is constituted of perception layer,network layer and applica-tion layer.To predict the soil moisture accurately,the Internet of things technology was adopted to monitor the soil mois-ture,and the BP neural network model was established to predict soil moisture.To verify the performance of the monito-ring system,the system was trained and verified with the actual soil data.The test results show that the system could ac-curately predict the soil moisture.