Near-Infrared Spectroscopy Coupled with Chemometrics Tools: A Rapid and Non-Destructive Alternative on Soil Evaluation-Reference-Cited by-同舟云学术

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Near-Infrared Spectroscopy Coupled with Chemometrics Tools: A Rapid and Non-Destructive Alternative on Soil Evaluation

Published:2019-01-24 Issue:4 Volume:50 Page:421-434
ISSN:0010-3624
Container-title:Communications in Soil Science and Plant Analysis
language:en
Short-container-title:Communications in Soil Science and Plant Analysis

Author:

Carra Jéssica Bassetto¹,Fabris Marciéli¹,Dieckow Jeferson²,Brito Osmar Rodrigues³,Vendrame Pedro Rodolfo Siqueira³,Macedo Dos Santos Tonial Larissa¹

Affiliation:

1. Academic Department of Chemistry, Universidade Tecnológica Federal do Paraná, Pato Branco, PR, Brazil

2. Department of Soil and Agricultural Engineering, Universidade Federal do Paraná, Curitiba, PR, Brazil

3. Department of Geosciences, Universidade Estadual de Londrina, Londrina, PR, Brasil

Publisher

Informa UK Limited

Subject

Soil Science,Agronomy and Crop Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/00103624.2019.1566465

Reference63 articles.

1. Visible near infrared reflectance spectroscopy to predict soil phosphorus pools in chernozems of Saskatchewan, Canada

2. Métodos Kjeldahl, Elementar e o Potencial da Espectroscopia do Infravermelho Próximo para Determinação de Nitrogênio em Solos da Bacia do Acre

3. Evaluation of soil quality for agricultural production using visible–near-infrared spectroscopy

4. Variable selection in near-infrared spectroscopy: Benchmarking of feature selection methods on biodiesel data

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1. A handheld rapid detector of soil total nitrogen based on phase-locked amplification technology;Computers and Electronics in Agriculture;2024-09

2. Quantitative inversion of soil trace elements from spectroscopic effects across multiple crop growth periods;International Journal of Applied Earth Observation and Geoinformation;2024-08

3. Soil Spectroscopy Evolution: A Review of Homemade Sensors, Benchtop Systems, and Mobile Instruments Coupled with Machine Learning Algorithms in Soil Diagnosis for Precision Agriculture;Critical Reviews in Analytical Chemistry;2024-05-14

4. Combination of Fractional-Order Derivative and Spectral Variable Selection to Improve Soil Properties Prediction Using Vis-Nir Spectroscopy;2024

5. Spectroscopic based partial least-squares models to estimate soil features;Microchemical Journal;2022-09

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