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Data-driven prediction of greenhouse aquaponics air temperature based on adaptive time pattern network.

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第一作者： Jinqi,Yang

第一单位： National Innovation Center for Digital Fishery, China Agricultural University, Beijing, 100083, China.;Key Laboratory of Smart Farming for Aquatic Animal and Livestock, Ministry of Agriculture and Rural Affairs, College of Information and Electrical Engineering, China Agricultural University, Beijing, 100083, China.;Beijing Engineering and Technology Research Center for Internet of Things in Agriculture, China Agricultural University, Beijing, 100083, China.;National Innovation Center for Digital Fishery, College of Information and Electrical Engineering, China Agricultural University, Beijing, 100083, China.;Department of Chemical and Process Engineering, University of Surrey, Guildford, GU2 7XH, UK.

作者： Jinqi,Yang ^[1] ; Yu,Guo ^[2] ; Tao,Chen ^[3] ; Lang,Qiao ^[4] ; Yang,Wang ^[5]

作者单位： National Innovation Center for Digital Fishery, China Agricultural University, Beijing, 100083, China.;Key Laboratory of Smart Farming for Aquatic Animal and Livestock, Ministry of Agriculture and Rural Affairs, College of Information and Electrical Engineering, China Agricultural University, Beijing, 100083, China.;Beijing Engineering and Technology Research Center for Internet of Things in Agriculture, China Agricultural University, Beijing, 100083, China.;National Innovation Center for Digital Fishery, College of Information and Electrical Engineering, China Agricultural University, Beijing, 100083, China.;Department of Chemical and Process Engineering, University of Surrey, Guildford, GU2 7XH, UK. ^[1] National Innovation Center for Digital Fishery, China Agricultural University, Beijing, 100083, China.;Key Laboratory of Smart Farming for Aquatic Animal and Livestock, Ministry of Agriculture and Rural Affairs, College of Information and Electrical Engineering, China Agricultural University, Beijing, 100083, China.;Beijing Engineering and Technology Research Center for Internet of Things in Agriculture, China Agricultural University, Beijing, 100083, China.;National Innovation Center for Digital Fishery, College of Information and Electrical Engineering, China Agricultural University, Beijing, 100083, China. ^[2] Department of Chemical and Process Engineering, University of Surrey, Guildford, GU2 7XH, UK. ^[3] National Innovation Center for Digital Fishery, College of Information and Electrical Engineering, China Agricultural University, Beijing, 100083, China. ^[4] National Innovation Center for Digital Fishery, China Agricultural University, Beijing, 100083, China. andy_yangwang@cau.edu.cn.;Key Laboratory of Smart Farming for Aquatic Animal and Livestock, Ministry of Agriculture and Rural Affairs, College of Information and Electrical Engineering, China Agricultural University, Beijing, 100083, China. andy_yangwang@cau.edu.cn.;Beijing Engineering and Technology Research Center for Internet of Things in Agriculture, China Agricultural University, Beijing, 100083, China. andy_yangwang@cau.edu.cn.;National Innovation Center for Digital Fishery, College of Information and Electrical Engineering, China Agricultural University, Beijing, 100083, China. andy_yangwang@cau.edu.cn. ^[5]

关键词 Air temperature Aquaponics Attention mechanism Data-driven model Time-series forecasting

医学主题词温度(Temperature);时间因素(Time Factors);预测(Forecasting)

DOI 10.1007/s11356-023-25759-2

PMID 36763269

发布时间 2023-04-14

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准确一般字义偏差语意偏离译文作用小提交