基于特征模式识别的农田监控系统研究

Study on Farmland Monitoring System Based on FeaturePattern Recognition

针对农田监控系统中存在的识别准确度不高、数据处理效率低等问题,提出了一种基于特征模式识别的农田监控系统。对农田监控系统的功能进行了设计,包括系统整体架构设计、数据采集与传输模块设计、特征提取与模式识别算法设计,结合用户界面设计实验与结果分析,验证了所提出系统的有效性和性能优势。对农田监控系统在实际农业生产中的应用前景进行了展望,并提出了未来改进方向和研究趋势。

A farmland monitoring system based on feature pattern recognition was proposed to address the issues of low rec-ognition accuracy and low data processing efficiency in farmland monitoring systems.Detailed functions of the farmland mon-itoring system were designed including overall system architecture,data acquisition and transmission module,feature extrac-tion and pattern recognition algorithm.Combined with user interface design experiments and result analysis,the effectiveness and performance advantages of the proposed system were verified.The application prospects of agricultural monitoring sys-tems in actual agricultural production were discussed,and future improvement directions and research trends were proposed.