Soft-sensing for Leaf Water Potential Based on Micro-environment Factors of Plant
Leaf water potential is the best parameter of estimating plant water status, evaluation from Penman-Monteith transpiration formula or retrieval from remote sensing data has complex calculations, too many parameters, poor transplantations and high costs. This paper selects accessible microenvironment factors of plant as auxiliary variables, and establishes a leaf water potential soft-sensing model with RBF neural network. Simulation result shows that this model is simple and practical, and has higher accuracy. It is one of effective methods estimating plant water status on line.
SPAC leaf water potential soft-sensing RBF network micro-environment factors.
DAI Fangyuan LU Shengli PAN Yanmei
Department of Automation,Tianjin University of Technology and Education,Tianjin 300222,China
国际会议
上海
英文
1403-1406
2009-11-20（万方平台首次上网日期，不代表论文的发表时间）