基于声学传感器的农业数据智能化分析方法研究  

Research on Intelligent Analysis Methods of Agricultural Data Based on Acoustic Sensors

作　　者：李晓红[1] LI Xiaohong(School of Information Science and Engineering,Shaoyang University,Shaoyang 422000,China)

机构地区：[1]邵阳学院信息科学与工程学院,湖南邵阳422000

出　　处：《电声技术》2025年第1期131-134,共4页Audio Engineering

基　　金：湖南省自科基金省市联合基金(2022JJ50185)。

摘　　要：研究基于声学传感器的农业数据智能化分析方法,旨在提升农业生产中的精准监测与决策能力。通过引入声学信号预处理、特征提取及模式识别技术,结合卷积神经网络实现农业声音的智能化分析与识别。实验结果表明,基于声学传感器的农业数据智能化分析方法具有较好的稳定性和可靠性,能够满足实际农业生产环境下的应用需求。This paper studies intelligent analysis methods for agricultural data using acoustic sensors.The goal is to improve precise monitoring and decision-making in agricultural production.By incorporating acoustic signal preprocessing,feature extraction,and pattern recognition technologies,along with convolutional neural networks,intelligent analysis and recognition of agricultural sounds are achieved.Experimental results show that the intelligent analysis method of agricultural data based on acoustic sensors has good stability and reliability,and can meet the application requirements in the actual agricultural production environment.

关 键 词：声学传感器 农业数据 智能化分析 

分 类 号：TP212.9[自动化与计算机技术—检测技术与自动化装置]