Estimating soil wetting patterns for drip irrigation using genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@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