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A Step Forward in Hybrid Soil Laboratory Analysis: Merging Chemometric Corrections, Protocols and Data-Driven Methods
by
Kochinki, Viviane Cristina Vivian
, Dor, Eyal Ben
, Rosas, Jorge Tadeu Fim
, Rosin, Nicolas Augusto
, Ortiz, Ednilson Batista
, Gonçalves, João Vitor Ferreira
, dos Santos, Uemeson José
, Nanni, Marcos Rafael
, Falcioni, Renan
, Bartsch, Bruno dos Anjos
, Vedana, Nicole Ghinzelli Vedana
, Demattê, José A. M.
, Gallo, Paulo
, Coblinski, João Augusto
, Pelegrino, Marcelo H. P.
, Oliveira, Caio Almeida de
, Poppiel, Raul Roberto
, Furlanetto, Renato Herrig
in
Chemical sensors
/ Data acquisition
/ Data analysis
/ Impact analysis
/ Information management
/ Laboratories
/ laboratory spectroscopy
/ Methods
/ pedometrics
/ Prediction models
/ Soil analysis
/ Soil chemistry
/ Soil improvement
/ Soil management
/ Soil properties
/ soil quality
/ Soil sciences
/ Soil testing
/ Spectral analysis
/ spectral standardization soil analysis
/ Spectroscopic analysis
/ Spectroscopy
/ Spectrum analysis
/ Sustainability management
2024
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A Step Forward in Hybrid Soil Laboratory Analysis: Merging Chemometric Corrections, Protocols and Data-Driven Methods
by
Kochinki, Viviane Cristina Vivian
, Dor, Eyal Ben
, Rosas, Jorge Tadeu Fim
, Rosin, Nicolas Augusto
, Ortiz, Ednilson Batista
, Gonçalves, João Vitor Ferreira
, dos Santos, Uemeson José
, Nanni, Marcos Rafael
, Falcioni, Renan
, Bartsch, Bruno dos Anjos
, Vedana, Nicole Ghinzelli Vedana
, Demattê, José A. M.
, Gallo, Paulo
, Coblinski, João Augusto
, Pelegrino, Marcelo H. P.
, Oliveira, Caio Almeida de
, Poppiel, Raul Roberto
, Furlanetto, Renato Herrig
in
Chemical sensors
/ Data acquisition
/ Data analysis
/ Impact analysis
/ Information management
/ Laboratories
/ laboratory spectroscopy
/ Methods
/ pedometrics
/ Prediction models
/ Soil analysis
/ Soil chemistry
/ Soil improvement
/ Soil management
/ Soil properties
/ soil quality
/ Soil sciences
/ Soil testing
/ Spectral analysis
/ spectral standardization soil analysis
/ Spectroscopic analysis
/ Spectroscopy
/ Spectrum analysis
/ Sustainability management
2024
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A Step Forward in Hybrid Soil Laboratory Analysis: Merging Chemometric Corrections, Protocols and Data-Driven Methods
by
Kochinki, Viviane Cristina Vivian
, Dor, Eyal Ben
, Rosas, Jorge Tadeu Fim
, Rosin, Nicolas Augusto
, Ortiz, Ednilson Batista
, Gonçalves, João Vitor Ferreira
, dos Santos, Uemeson José
, Nanni, Marcos Rafael
, Falcioni, Renan
, Bartsch, Bruno dos Anjos
, Vedana, Nicole Ghinzelli Vedana
, Demattê, José A. M.
, Gallo, Paulo
, Coblinski, João Augusto
, Pelegrino, Marcelo H. P.
, Oliveira, Caio Almeida de
, Poppiel, Raul Roberto
, Furlanetto, Renato Herrig
in
Chemical sensors
/ Data acquisition
/ Data analysis
/ Impact analysis
/ Information management
/ Laboratories
/ laboratory spectroscopy
/ Methods
/ pedometrics
/ Prediction models
/ Soil analysis
/ Soil chemistry
/ Soil improvement
/ Soil management
/ Soil properties
/ soil quality
/ Soil sciences
/ Soil testing
/ Spectral analysis
/ spectral standardization soil analysis
/ Spectroscopic analysis
/ Spectroscopy
/ Spectrum analysis
/ Sustainability management
2024
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A Step Forward in Hybrid Soil Laboratory Analysis: Merging Chemometric Corrections, Protocols and Data-Driven Methods
Journal Article
A Step Forward in Hybrid Soil Laboratory Analysis: Merging Chemometric Corrections, Protocols and Data-Driven Methods
2024
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Overview
The need to maintain soil health and produce more food worldwide has increased, and soil analysis is essential for its management. Although spectroscopy has emerged as an important tool, it is important to focus primarily on predictive modeling procedures rather than specific protocols. This article aims to contribute to a routine work sequence in a hybrid laboratory that seeks to provide the best data for its users. In this study, 18,730 soil samples from the state of Paraná, Brazil, were analyzed using three different laboratories, sensors and geometries for data acquisition. Thirty soil properties were analyzed, some using different chemical methodologies for comparison purposes. After a spectral reading, two literary protocols were applied, and the final prediction results were observed. We applied cubist models, which were the best for our population. The combination of different spectral analysis systems, with a standardized protocol using LB for the ISS detection of discrepant samples, was shown to significantly improve the accuracy of predictions for 21 of the 30 soil properties analyzed, highlighting the importance of choosing the extraction methodology and improving data quality, which have a significant impact on laboratory analyses, reaffirming spectroscopy as an essential tool for the efficient and sustainable management of soil resources.
Publisher
MDPI AG
Subject
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