中国农业科技导报2024，Vol.26Issue(7)：93-102,10.DOI:10.13304/j.nykjdb.2023.0925
基于传感器的农业温室数据直报系统与智能调控研究
Research on Sensor-based Agricultural Greenhouse Data Direct Reporting System and Intelligent Control
摘要
Abstract
The rapid development of agricultural internet of things,big data,artificial intelligence and other technologies have provided strong support for data collection,analysis and regulation of greenhouse vegetable production.In order to meet the requirements of intelligent direct reporting scenarios for greenhouse environmental data,this study developed the deployment specifications of greenhouse environmental sensors.3 greenhouse control temperature prediction models based on LSTM,CNN-LSTM,and CNN-LSTM-Attention were designed and compared.Among them,CNN-LSTM-Attention prediction model had the best performance,with MSE,MAE and R2 of 0.457 0,0.319 5 and 0.987 3,respectively.The ARIMA-based sensor data error correction method was designed and the difference between the predicted soil moisture data and the actual measurement was not significant.The parameter threshold model of environmental information of common greenhouse fruit and vegetable crops was integrated,and the mobile end of greenhouse data direct reporting and intelligent regulation system was developed.Thus,it could guide the standardized deployment of greenhouse environmental sensors,temperature prediction and error correction,and auxiliary decision-making for common greenhouse fruit and vegetable cultivation.Above results provided technical means for data collection,business analysis,and greenhouse control in greenhouse data direct reporting scenarios,and contributed to the high-quality development of the smart greenhouse vegetable industry.关键词
传感器/数据直报/温室应用场景/温度预测/数据纠错Key words
sensors/data direct reporting/greenhouse application scenario/temperature prediction/data error correction分类
农业科技引用本文复制引用
熊晓菲,吴文茜,霍洪彦,张馨,于艳,安冬,张同,吴建伟..基于传感器的农业温室数据直报系统与智能调控研究[J].中国农业科技导报,2024,26(7):93-102,10.基金项目
上海市科技兴农项目(沪农科推字2022第3-2号) （沪农科推字2022第3-2号）
北京市农林科学院项目(JJP2023-04,PT2023-30) （JJP2023-04,PT2023-30）
北京市科技计划项目(Z221100005822014). （Z221100005822014）
