Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1166832
Registro completo de metadados
Campo DCValorIdioma
dc.contributor.authorBRAUNGER, M. L.
dc.contributor.authorPOPOLIN NETO, M.
dc.contributor.authorKIRSANOV, D.
dc.contributor.authorFIER, I.
dc.contributor.authorAMARAL, L. R.
dc.contributor.authorSHIMIZU, F. M.
dc.contributor.authorCORREA, D. S.
dc.contributor.authorPAULOVICH, F. V.
dc.contributor.authorLEGIN, A.
dc.contributor.authorOLIVEIRA JR., O. N.
dc.contributor.authorRIUL JR, A.
dc.date.accessioned2024-08-27T20:53:52Z-
dc.date.available2024-08-27T20:53:52Z-
dc.date.created2024-08-27
dc.date.issued2024
dc.identifier.citationACS Omega, v. 9, 2024.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1166832-
dc.descriptionABSTRACT: The need to increase food production to address the world population growth can only be fulfilled with precision agriculture strategies to increase crop yield with minimal expansion of the cultivated area. One example is site-specific fertilization based on accurate monitoring of soil nutrient levels, which can be made more cost-effective using sensors. This study developed an impedimetric multisensor array using ion-selective membranes to analyze soil samples enriched with macronutrients (N, P, and K), which is compared with another array based on layer-by-layer films. The results obtained from both devices are analyzed with multidimensional projection techniques and machine learning methods, where a decision tree model algorithm chooses the calibrations (best frequencies and sensors). The multicalibration space method indicates that both devices effectively distinguished all soil samples tested, with the ion-selective membrane setup presenting a higher sensitivity to K content. These findings pave the way for more environmentally friendly and efficient agricultural practices, facilitating the mapping of cropping areas for precise fertilizer application and optimized crop yield.
dc.language.isoeng
dc.rightsopenAccess
dc.subjectSoil nutrient
dc.subjectSmart agriculture
dc.titleAnalysis of Macronutrients in Soil Using Impedimetric Multisensor Arrays.
dc.typeArtigo de periódico
dc.format.extent233949−33958
riaa.ainfo.id1166832
riaa.ainfo.lastupdate2024-08-27
dc.identifier.doihttps://pubs.acs.org/10.1021/acsomega.4c04452
dc.contributor.institutionUNIVERSIDADE ESTADUAL DE CAMPINAS
dc.contributor.institutionFEDERAL INSTITUTE OF SÃO PAULOeng
dc.contributor.institutionUNIVERSITY ST. PETERSBURGeng
dc.contributor.institutionQUANTUM DESIGN LATIN AMERICAeng
dc.contributor.institutionUNIVERSITY OF CAMPINASeng
dc.contributor.institutionUNIVERSIDADE ESTADUAL DE CAMPINASeng
dc.contributor.institutionDANIEL SOUZA CORREA, CNPDIAeng
dc.contributor.institutionEINDHOVEN UNIVERSITY OF TECHNOLOGYeng
dc.contributor.institutionST. PETERSBURG STATE UNIVERSITYeng
dc.contributor.institutionUNIVERSITY OF SÃO PAULOeng
dc.contributor.institutionUNIVERSIDADE ESTADUAL DE CAMPINAS.eng
Aparece nas coleções:Artigo em periódico indexado (CNPDIA)

Arquivos associados a este item:
Arquivo Descrição TamanhoFormato 
P-Analysis-of-Macronutrients-in-Soil-Using-Impedimetric-Multisensor.pdf6.36 MBAdobe PDFThumbnail
Visualizar/Abrir
Mostrar registro simples do item Visualizar estatísticas

FacebookTwitterDeliciousLinkedInGoogle BookmarksMySpace