Information Processing in Agriculture2026，Vol.13Issue(2)：P.238-252,15.DOI:10.1016/j.inpa.2025.11.002
Prediction of greenhouse temperature and humidity across growing seasons:Hybridization of process-based model and deep neural networks
Kaige Liu 1Tao Ji 2Ming Li 3Xinting Yang 1Junli Sun 2Huiying Liu 2Ran Liu4
作者信息
- 1. Agricultural College/Key Laboratory of Special Fruits and Vegetables Cultivation Physiology and Germplasm Resources Utilization of Xinjiang Production and Construction Corps,Shihezi University,Shihezi 832003,Xinjiang,China Information Technology Research Center,Beijing Academy of Agriculture and Forestry Sciences/National Engineering Research Center for Information Technology in Agriculture/National Engineering Laboratory for Agri-product Quality Traceability,Beijing 100097,China
- 2. Agricultural College/Key Laboratory of Special Fruits and Vegetables Cultivation Physiology and Germplasm Resources Utilization of Xinjiang Production and Construction Corps,Shihezi University,Shihezi 832003,Xinjiang,China
- 3. Information Technology Research Center,Beijing Academy of Agriculture and Forestry Sciences/National Engineering Research Center for Information Technology in Agriculture/National Engineering Laboratory for Agri-product Quality Traceability,Beijing 100097,China
- 4. College of Horticulture Science/State Key Laboratory for Development and Utilization of Forest Food Resources,Zhejiang A&F University,Hangzhou 311300,Zhejiang,China Information Technology Research Center,Beijing Academy of Agriculture and Forestry Sciences/National Engineering Research Center for Information Technology in Agriculture/National Engineering Laboratory for Agri-product Quality Traceability,Beijing 100097,China
- 折叠
摘要
关键词
Greenhouse microclimate/Adaptive learning/Seasonal forecasting/Optimization algorithm/Deep learning/Hybrid model分类
农业科技引用本文复制引用
Kaige Liu,Tao Ji,Ming Li,Xinting Yang,Junli Sun,Huiying Liu,Ran Liu..Prediction of greenhouse temperature and humidity across growing seasons:Hybridization of process-based model and deep neural networks[J].Information Processing in Agriculture,2026,13(2):P.238-252,15.基金项目
supported by the Youth Project of the National Natural Science Foundation of China(32302453) （32302453）
the Key Research and Development Program of the Xinjiang Uygur Autonomous Region(2022B02032-3) （2022B02032-3）
the National Talent Plan Project(KZ617201). （KZ617201）
