摘要
智能农业是物联网技术和农业深度融合的产物,具有科学种植、精准操控、绿色农业等诸多优点。物联网中的传感器在采集数据时,会出现数据异常,也会导致数据丢失。如果将这些残缺的数据加以利用,必然会给后续的系统带来巨大的误差,从而导致决策的巨大失误。基于此,对所收集的农业数据,利用马田系统进行异常检测,并对收集到的数据进行补正。
Smart agriculture is the product of the deep integration of IoT technology and agriculture,it has many advantages such as scientific planting,precise control,and green agriculture.When sensors in the Internet of Things collect data,data anomalies will occur,which will also lead to data loss.If these lost data are used up,it will inevitably bring huge errors to the subsequent system,leading to huge mistakes in decision-making.This paper will conduct anomaly detection on the agricultural data collected,Using the Matian system to detect anomalies,on this basis,the collected data shall be supplemented and corrected.
作者
王飞鸿
WANG Feihong(National Chengchi University,Taibei China 11656)
出处
《中国科技纵横》
2023年第13期65-67,共3页
China Science & Technology Overview
关键词
农业物联网
异常数据检测
补值
agricultural Internet of Things
abnormal data detection
supplementary value
