Estimating soil wetting patterns for drip irrigation using genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8010

@Article{Samadianfard:2012:SRAR,

• title = "Estimating soil wetting patterns for drip irrigation using genetic programming",
• author = "S. Samadianfard and A. A. Sadraddini and A. H. Nazemi and G. Provenzano and O. Kisi",
• journal = "Spanish Journal of Agricultural Research",
• year = "2012",
• volume = "10",
• number = "4",
• pages = "1155--1166",
• keywords = "genetic algorithms, genetic programming, gene expression programming, HYDRUS 2D, infiltration, numerical models, soil texture triangle",
• publisher = "Instituto Nacional de Investigaci{\'o}n y Tecnolog{\'i}a Agraria y Alimentaria (INIA)",
• URL = "http://revistas.inia.es/index.php/sjar/article/view/2224",
• DOI = "doi:10.5424/sjar/2012104-502-11",
• ISSN = "1695-971X",
• bibsource = "OAI-PMH server at dialnet.unirioja.es",
• language = "eng",
• oai = "oai:dialnet.unirioja.es:ART0000519218",
• rights = "free",
• URL = "http://dialnet.unirioja.es/servlet/oaiart?codigo=4091324",
• abstract = "Drip irrigation is considered as one of the most efficient irrigation systems. Knowledge of the soil wetted perimeter arising from infiltration of water from drippers is important in the design and management of efficient irrigation systems. To this aim, numerical models can represent a powerful tool to analyse the evolution of the wetting pattern during irrigation, in order to explore drip irrigation management strategies, to set up the duration of irrigation, and finally to optimise water use efficiency. This paper examines the potential of genetic programming (GP) in simulating wetting patterns of drip irrigation. First by considering 12 different soil textures of USDA.SCS soil texture triangle, different emitter discharge and duration of irrigation, soil wetting patterns have been simulated by using HYDRUS 2D software. Then using the calculated values of depth and radius of wetting pattern as target outputs, two different GP models have been considered. Finally, the capability of GP for simulating wetting patterns was analysed using some values of data set that were not used in training. Results showed that the GP method had good agreement with results of HYDRUS 2D software in the case of considering full set of operators with R2 of 0.99 and 0.99 and root mean squared error of 2.88 and 4.94 in estimation of radius and depth of wetting patterns, respectively. Also, field experimental results in a sandy loam soil with emitter discharge of 4 L h-1 showed reasonable agreement with GP results. As a conclusion, the results of the study demonstrate the usefulness of the GP method for estimating wetting patterns of drip irrigation.",

}

Genetic Programming entries for Saeed Samadianfard Seyed Ali Ashrafla Sadraddini Amir Hossein Nazemi Giuseppe Provenzano Ozgur Kisi

Citations