Artificial neural network model for simulation of water distribution in sprinkle irrigation
ABSTRACTDetermining uniformity coefficients of sprinkle irrigation systems, in general, depends on field trials, which require time and financial resources. One alternative to reduce time and expense is the use of simulations. The objective of this study was to develop an artificial neural network (...
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| Format: | Article |
| Language: | English |
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Universidade Federal de Campina Grande
2015-09-01
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| Series: | Revista Brasileira de Engenharia Agrícola e Ambiental |
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| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662015000900817&lng=en&tlng=en |
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| author | Paulo L. de Menezes Carlos A. V. de Azevedo Eduardo Eyng José Dantas Neto Vera L. A. de Lima |
| author_facet | Paulo L. de Menezes Carlos A. V. de Azevedo Eduardo Eyng José Dantas Neto Vera L. A. de Lima |
| author_sort | Paulo L. de Menezes |
| collection | DOAJ |
| description | ABSTRACTDetermining uniformity coefficients of sprinkle irrigation systems, in general, depends on field trials, which require time and financial resources. One alternative to reduce time and expense is the use of simulations. The objective of this study was to develop an artificial neural network (ANN) to simulate sprinkler precipitation, using the values of operating pressure, wind speed, wind direction and sprinkler nozzle diameter as the input parameters. Field trials were performed with one sprinkler operating in a grid of 16 x 16, collectors with spacing of 1.5 m and different combinations of nozzles, pressures, and wind conditions. The ANN model showed good results in the simulation of precipitation, with Spearman's correlation coefficient (rs) ranging from 0.92 to 0.97 and Willmott agreement index (d) from 0.950 to 0.991, between the observed and simulated values for ten analysed trials. The ANN model shows promise in the simulation of precipitation in sprinkle irrigation systems. |
| format | Article |
| id | doaj-art-6fb28aa0fd32472389336cdaa01b9030 |
| institution | OA Journals |
| issn | 1807-1929 |
| language | English |
| publishDate | 2015-09-01 |
| publisher | Universidade Federal de Campina Grande |
| record_format | Article |
| series | Revista Brasileira de Engenharia Agrícola e Ambiental |
| spelling | doaj-art-6fb28aa0fd32472389336cdaa01b90302025-08-20T01:58:07ZengUniversidade Federal de Campina GrandeRevista Brasileira de Engenharia Agrícola e Ambiental1807-19292015-09-0119981782210.1590/1807-1929/agriambi.v19n9p817-822S1415-43662015000900817Artificial neural network model for simulation of water distribution in sprinkle irrigationPaulo L. de MenezesCarlos A. V. de AzevedoEduardo EyngJosé Dantas NetoVera L. A. de LimaABSTRACTDetermining uniformity coefficients of sprinkle irrigation systems, in general, depends on field trials, which require time and financial resources. One alternative to reduce time and expense is the use of simulations. The objective of this study was to develop an artificial neural network (ANN) to simulate sprinkler precipitation, using the values of operating pressure, wind speed, wind direction and sprinkler nozzle diameter as the input parameters. Field trials were performed with one sprinkler operating in a grid of 16 x 16, collectors with spacing of 1.5 m and different combinations of nozzles, pressures, and wind conditions. The ANN model showed good results in the simulation of precipitation, with Spearman's correlation coefficient (rs) ranging from 0.92 to 0.97 and Willmott agreement index (d) from 0.950 to 0.991, between the observed and simulated values for ten analysed trials. The ANN model shows promise in the simulation of precipitation in sprinkle irrigation systems.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662015000900817&lng=en&tlng=enaspersoruniformidade de distribuição de águainteligência artificialmodelo computacional |
| spellingShingle | Paulo L. de Menezes Carlos A. V. de Azevedo Eduardo Eyng José Dantas Neto Vera L. A. de Lima Artificial neural network model for simulation of water distribution in sprinkle irrigation Revista Brasileira de Engenharia Agrícola e Ambiental aspersor uniformidade de distribuição de água inteligência artificial modelo computacional |
| title | Artificial neural network model for simulation of water distribution in sprinkle irrigation |
| title_full | Artificial neural network model for simulation of water distribution in sprinkle irrigation |
| title_fullStr | Artificial neural network model for simulation of water distribution in sprinkle irrigation |
| title_full_unstemmed | Artificial neural network model for simulation of water distribution in sprinkle irrigation |
| title_short | Artificial neural network model for simulation of water distribution in sprinkle irrigation |
| title_sort | artificial neural network model for simulation of water distribution in sprinkle irrigation |
| topic | aspersor uniformidade de distribuição de água inteligência artificial modelo computacional |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662015000900817&lng=en&tlng=en |
| work_keys_str_mv | AT pauloldemenezes artificialneuralnetworkmodelforsimulationofwaterdistributioninsprinkleirrigation AT carlosavdeazevedo artificialneuralnetworkmodelforsimulationofwaterdistributioninsprinkleirrigation AT eduardoeyng artificialneuralnetworkmodelforsimulationofwaterdistributioninsprinkleirrigation AT josedantasneto artificialneuralnetworkmodelforsimulationofwaterdistributioninsprinkleirrigation AT veraladelima artificialneuralnetworkmodelforsimulationofwaterdistributioninsprinkleirrigation |