The server is under maintenance between 08:00 to 12:00 (GMT+08:00), and please visit later.
We apologize for any inconvenience caused
Login  | Sign Up  |  Oriprobe Inc. Feed
China/Asia On Demand
Journal Articles
Laws/Policies/Regulations
Companies/Products
Bookmark and Share
Research on the Dynamic Model for Leaf Water Potential of Oil Sunflower in Saline Soil
Author(s): 
Pages: 22-25,28
Year: Issue:  5
Journal: WATER SAVING IRRIGATION

Keyword:  SPAC系统BP神经网络盐渍化油料向日葵;
Abstract: 以油料向日葵为研究对象,采用田间试验对北方盐渍化地区土壤-植物-大气连续体中不同界面的能态进行了研究.揭示了盐渍化地区SPAC系统内的水分迁移机理.通过相关性分析得出叶水势的影响因素有:土壤水分、盐分,净辐射,大气湿度,大气温度.在分析影响因素的基础上,建立了基于BP神经网络的盐渍化地区油料向日葵叶水势动态模型,通过网络训练,确定网络的拓扑结构为7:24:1,模型的平均相对误差为13.8%,符合田间试验要求.
Related Articles
No related articles found