Por favor, use este identificador para citar o enlazar este ítem: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1166832
Título: Analysis of Macronutrients in Soil Using Impedimetric Multisensor Arrays.
Autor: BRAUNGER, M. L.
POPOLIN NETO, M.
KIRSANOV, D.
FIER, I.
AMARAL, L. R.
SHIMIZU, F. M.
CORREA, D. S.
PAULOVICH, F. V.
LEGIN, A.
OLIVEIRA JR., O. N.
RIUL JR, A.
Afiliación: UNIVERSIDADE ESTADUAL DE CAMPINAS
FEDERAL INSTITUTE OF SÃO PAULO
UNIVERSITY ST. PETERSBURG
QUANTUM DESIGN LATIN AMERICA
UNIVERSITY OF CAMPINAS
UNIVERSIDADE ESTADUAL DE CAMPINAS
DANIEL SOUZA CORREA, CNPDIA
EINDHOVEN UNIVERSITY OF TECHNOLOGY
ST. PETERSBURG STATE UNIVERSITY
UNIVERSITY OF SÃO PAULO
UNIVERSIDADE ESTADUAL DE CAMPINAS.
Año: 2024
Referencia: ACS Omega, v. 9, 2024.
Páginas: 33949−33958
Descripción: ABSTRACT: 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.
Palabras clave: Soil nutrient
Smart agriculture
DOI: https://pubs.acs.org/10.1021/acsomega.4c04452
Tipo de Material: Artigo de periódico
Acceso: openAccess
Aparece en las colecciones:Artigo em periódico indexado (CNPDIA)

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