dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2018-12-11T17:01:48Z
dc.date.available2018-12-11T17:01:48Z
dc.date.created2018-12-11T17:01:48Z
dc.date.issued2015-01-01
dc.identifierIJCCI 2015 - Proceedings of the 7th International Joint Conference on Computational Intelligence, v. 2, p. 162-169.
dc.identifierhttp://hdl.handle.net/11449/172694
dc.identifier2-s2.0-84960945745
dc.description.abstractIn the wake of the worldwide water supply crisis, several methods are being used to optimize the use of water, mainly in agriculture, which is the main consuming factor. Magnetically treated water for agriculture is beneficent due to an increase in quality and productivity. Current abay evaluates the effects of magnetically treated water in lettuce cultivations throughout its cycle and determines the intermediate rates by fuzzy models submitted at different reposition rates and abebed throughout the cycles. The abay was conducted in randomized blocks with a 4 x 5 factor scheme, with 5 reposition laminas and 4 dates after transplant. Development was evaluated by fuzzy mathematical modeling and by multiple polynomial regrebions. Results were compared with data collected on the field. The highest development occurred for treatments irrigated with magnetically treated water, featuring a greater green aerial phytomab and number of leaves throughout the cycle. The fuzzy model provided a more exact adjustment when compared with results from statistical models.
dc.languageeng
dc.relationIJCCI 2015 - Proceedings of the 7th International Joint Conference on Computational Intelligence
dc.rightsAcesso aberto
dc.sourceScopus
dc.subjectCurves
dc.subjectFoggy
dc.subjectGrowth
dc.subjectPrecision
dc.subjectUncertain
dc.subjectWater Streb
dc.titleFuzzy modeling of development of sheets number in different irrigation levels of irrigated lettuce with magnetically treated water
dc.typeActas de congresos


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