Research output: Contribution to journal › Article › peer-review
Analysis of Macronutrients in Soil Using Impedimetric Multisensor Arrays. / Braunger, M.L.; Neto, M.P.; Kirsanov, D.; Fier, I.; Amaral, L.R.; Shimizu, F.M.; Correa, D.S.; Paulovich, F.V.; Legin, A.; Oliveira O.N., Jr.; Riul A., Jr.
In: ACS Omega, Vol. 9, No. 31, 06.08.2024, p. 33949-33958.Research output: Contribution to journal › Article › peer-review
}
TY - JOUR
T1 - Analysis of Macronutrients in Soil Using Impedimetric Multisensor Arrays
AU - Braunger, M.L.
AU - Neto, M.P.
AU - Kirsanov, D.
AU - Fier, I.
AU - Amaral, L.R.
AU - Shimizu, F.M.
AU - Correa, D.S.
AU - Paulovich, F.V.
AU - Legin, A.
AU - Oliveira O.N., Jr.
AU - Riul A., Jr.
N1 - Export Date: 5 October 2024 Адрес для корреспонденции: Riul, A.; Instituto de Física “Gleb Wataghin” (IFGW), São Paulo, Brazil; эл. почта: riul@unicamp.br Сведения о финансировании: 18-53-80010 Сведения о финансировании: 2015/14836-9 Сведения о финансировании: 00x0ma614 Сведения о финансировании: 403359/2023-6, 308943/2021-0, 308570/2018-9, 310745/2022-5, 402676/2021-1, 442196/2017-2 Сведения о финансировании: 2014/50869-6 Текст о финансировании 1: This research was funded by FAPESP (no 2015/14836-9, 2018/22214-6), CAPES, CNPq (308570/2018-9, 308943/2021-0, 310745/2022-5, BRICS-STI 29/2017 no 442196/2017-2, 402676/2021-1, 403359/2023-6), INEO (FAPESP/CNPq/INCT no 2014/50869-6), RFBR BRICS project #18-53-80010. Additionally, we would like to thank the University of Ljubljana (Slovenia) for the Orange Data Mining software. Текст о финансировании 2: The Article Processing Charge for the publication of this research was funded by the Coordination for the Improvement of Higher Education Personnel - CAPES (ROR identifier: 00x0ma614).
PY - 2024/8/6
Y1 - 2024/8/6
N2 - 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. © 2024 The Authors. Published by American Chemical Society
AB - 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. © 2024 The Authors. Published by American Chemical Society
UR - https://www.mendeley.com/catalogue/63b1df12-95af-387b-ae07-a3a3416601ff/
U2 - 10.1021/acsomega.4c04452
DO - 10.1021/acsomega.4c04452
M3 - статья
C2 - 39130582
VL - 9
SP - 33949
EP - 33958
JO - ACS Omega
JF - ACS Omega
SN - 2470-1343
IS - 31
ER -
ID: 125644200