Soft-sensor approach based on principal components analysis to improve the quality of the application of pesticides in agricultural pest control.

dc.contributorPEÑALOZA, E. A. G.
dc.contributorOLIVEIRA, V. A.
dc.contributorCRUVINEL, P. E.
dc.contributorPAULO ESTEVAO CRUVINEL, CNPDIA.
dc.date.accessioned2018-11-25T23:37:01Z
dc.date.accessioned2022-10-12T01:04:28Z
dc.date.available2018-11-25T23:37:01Z
dc.date.available2022-10-12T01:04:28Z
dc.date.created2018-11-25T23:37:01Z
dc.date.issued2018
dc.identifierIn: INTERNATIONAL CONFERENCE ON ADVANCES IN SENSORS, ACTUATORS, METERING AND SENSING - ALLSENSORS 2018, 3., 2018, Rome. Proceedings... Wilmington, USA: IARIA, 2018. p. 95-100.
dc.identifier978-1-61208-621-7
dc.identifierhttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1099955
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4068790
dc.languageeng
dc.rightsopenAccess
dc.subjectSoft-sensor
dc.subjectInferential sensors
dc.subjectQuality of application
dc.subjectAgricultural sprayers
dc.subjectSensores inferenciais
dc.subjectQualidade de aplicação
dc.subjectAnálise do componente principal
dc.subjectPulverizadores Agrícolas
dc.titleSoft-sensor approach based on principal components analysis to improve the quality of the application of pesticides in agricultural pest control.
dc.typeOtros


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