An adaptive system based on artificial neural networks for NPK fluid fertilizer application

dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorUlson, Jose Alfredo Covolan
dc.creatorde Silva, I. N.
dc.creatorBenez, Sérgio Hugo
dc.creatorBoas, RLV
dc.creatorZakharov, V
dc.date2014-05-20T15:25:27Z
dc.date2016-10-25T17:59:56Z
dc.date2014-05-20T15:25:27Z
dc.date2016-10-25T17:59:56Z
dc.date2000-01-01
dc.date.accessioned2017-04-05T23:52:26Z
dc.date.available2017-04-05T23:52:26Z
dc.identifierControl Applications of Optimization 2000, Vols 1 and 2. Kidlington: Pergamon-Elsevier B.V., p. 373-377, 2000.
dc.identifierhttp://hdl.handle.net/11449/35873
dc.identifierhttp://acervodigital.unesp.br/handle/11449/35873
dc.identifierWOS:000169941000068
dc.identifierhttps://getinfo.de/app/An-Adaptive-System-Based-on-Artificial-Neural-Networks/id/BLCP%3ACN039405878
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/879502
dc.descriptionThe application process of fluid fertilizers through variable rates implemented by classical techniques with feedback and conventional equipments can be inefficient or unstable. This paper proposes an open-loop control system based on artificial neural network of the type multilayer perceptron for the identification and control of the fertilizer flow rate. The network training is made by the algorithm of Levenberg-Marquardt with training data obtained from measurements. Preliminary results indicate a fast, stable and low cost control system for precision fanning. Copyright (C) 2000 IFAC.
dc.languageeng
dc.publisherElsevier B.V.
dc.relationControl Applications of Optimization 2000, Vols 1 and 2
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectfarming
dc.subjectcontrol systems
dc.subjectneural control
dc.subjectneural networks
dc.subjectadaptive control
dc.titleAn adaptive system based on artificial neural networks for NPK fluid fertilizer application
dc.typeOtro


Este ítem pertenece a la siguiente institución