干旱区生态环境知识资源中心(Arid): Prediction of the intern parameters tomato greenhouse in a semi-arid area using a time-series model of artificial neural networks

Arid

DOI	10.1016/j.measurement.2008.08.013
	Prediction of the intern parameters tomato greenhouse in a semi-arid area using a time-series model of artificial neural networks
	Dariouchy, A.1; Aassif, E.1; Lekouch, K.2; Bouirden, L.2; Maze, G.3
通讯作者	Dariouchy, A.
来源期刊	MEASUREMENT
ISSN	0263-2241
EISSN	1873-412X
出版年	2009
卷号	42 期号:3 页码:456-463
英文摘要	In this paper, an artificial neural network (ANN) was developed and used to predict the internal parameters inside the greenhouse during a 7-days period. The model database was collected starting from the greenhouse climatic data in real tomato culture in the Agadir area in Morocco. The External Moisture (M-ext), the Total Radiation (R-t), the Wind Direction (D-w), the Wind Velocity (V-w) and the External Temperature (T-ext) are retained like relevant entries of the time-series model. The comparison between the obtained results and experimental ones indicates that the ANN method is suitable to predict the greenhouse climatic data. (C) 2008 Elsevier Ltd. All rights reserved.
英文关键词	Artificial neural network (ANN) Time-series Greenhouse Tomato culture Morocco
类型	Article
语种	英语
国家	Morocco ; France
收录类别	SCI-E
WOS记录号	WOS:000264034900015
WOS关键词	ALGORITHMS
WOS类目	Engineering, Multidisciplinary ; Instruments & Instrumentation
WOS研究方向	Engineering ; Instruments & Instrumentation
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/161915
作者单位	1.Univ Ibn Zohr, Fac Sci, Dept Phys, Lab Metrol & Traitement Informat, Agadir, Morocco; 2.Univ Ibn Zohr, Fac Sci, Dept Phys, Lab Thermodynam & Energet, Agadir, Morocco; 3.Univ Havre, CNRS, LAUE UMR 6068, F-76610 Le Havre, France
推荐引用方式 GB/T 7714	Dariouchy, A.,Aassif, E.,Lekouch, K.,et al. Prediction of the intern parameters tomato greenhouse in a semi-arid area using a time-series model of artificial neural networks[J],2009,42(3):456-463.
APA	Dariouchy, A.,Aassif, E.,Lekouch, K.,Bouirden, L.,&Maze, G..(2009).Prediction of the intern parameters tomato greenhouse in a semi-arid area using a time-series model of artificial neural networks.MEASUREMENT,42(3),456-463.
MLA	Dariouchy, A.,et al."Prediction of the intern parameters tomato greenhouse in a semi-arid area using a time-series model of artificial neural networks".MEASUREMENT 42.3(2009):456-463.