摘要
无土栽培中的作物营养环境优化控制要求磷酸根浓度能现场测量 ,由于没有磷酸根离子选择电极 ,目前难以在现场测量磷酸根浓度。本文从机理分析出发 ,结合人工神经网络方法 ,建立了磷酸根浓度的软测量模型。基于该模型的软测量实验结果表明
The optimize control of nutrition environmentin greenhouse's hydroponic agriculture requires the on - line measurement of PO3-4 density. It is difficult to measure the density of PO3-4 easily in greenhouse. A mathematical model based on mechanism analysis and artificial neural network is presented in this paper. It has been validated by using measured data. The results of model validation show that modeling is valid and practi- cal.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2001年第z2期305-306,共2页
Chinese Journal of Scientific Instrument
关键词
设施农业
软测量
神经网络
建模
Greenhouse agricalture Soft measurement Neural network Modeling