Article
Environmental Studies
Massimo Conforti, Gabriele Buttafuoco
Summary: Visible and near-infrared diffuse reflectance spectroscopy (Vis-NIR) is an important method for predicting soil organic carbon (SOC), but further studies are needed to fully utilize its potential. This study investigated the effects of study area size and soil sampling density on the performance of Vis-NIR diffuse reflectance spectroscopy in predicting SOC by conducting experiments in two different forest areas.
Article
Chemistry, Multidisciplinary
Natalia Leone, Valeria Ancona, Ciro Galeone, Carmine Massarelli, Vito Felice Uricchio, Antonio Pasquale Leone
Summary: This study evaluated the application of visible-near infrared reflectance spectroscopy in conjunction with partial least square regression analysis in soil reclamation from polychlorinated biphenyls. The preliminary results showed that this method can rapidly and cost-effectively predict the presence of PCBs in soil.
APPLIED SCIENCES-BASEL
(2022)
Article
Geosciences, Multidisciplinary
Joao Augusto Coblinski, Alberto Vasconcellos Inda, Jose A. M. Dematte, Andre C. Dotto, Asa Gholizadeh, Elvio Giasson
Summary: This study aimed to investigate the identification of minerals in subtropical soils using VIS-NIR-SWIR reflectance spectroscopy. Five main soil minerals were successfully identified based on texture classification, with higher clay content corresponding to higher spectral amplitudes of identified minerals.
Article
Environmental Sciences
Anna A. Paltseva, Maha Deeb, Erika Di Iorio, Luana Circelli, Zhongqi Cheng, Claudio Colombo
Summary: The successful use of visible and near-infrared reflectance spectroscopy analysis combined with principal component regression and partial least-square regression was applied to detect different forms of lead. Linear discriminant analysis was used to classify soil into different categories of lead contamination risks. Different models were used to predict and compare total and bioaccessible lead concentrations.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Review
Environmental Studies
Vasileios Tsolis, Pantelis Barouchas
Summary: This literature review examines the assessment of biochar quality and its impact on soil properties through diffuse reflectance spectroscopy. Biochar, produced from biomass pyrolysis, is known for its positive effects on soil fertility and carbon sequestration. The review emphasizes the need for systematic research on biochar stability and highlights the potential of diffuse reflectance spectroscopy for analyzing soil-biochar interactions.
Article
Medicine, Legal
Rohini Chauhan, Raj Kumar, Vijay Kumar, Kashma Sharma, Vishal Sharma
Summary: The derivative diffuse reflectance UV-vis-NIR spectroscopy combined with multivariate methods were used to discriminate and classify soil samples from north-western India. Different organic and inorganic minerals were identified in varying amounts, with peak comparison and chemometric methods such as PCA being effective in differentiating samples. The PCA model was validated by analyzing unknown samples and achieved 95% accurate clustering of soil samples.
FORENSIC SCIENCE INTERNATIONAL
(2021)
Article
Soil Science
Michael Vohland, Bernard Ludwig, Michael Seidel, Christopher Hutengs
Summary: The study compared laboratory-based and in situ fusion approaches for visible to near and mid-infrared chemometric modelling in soil studies. It found that regionally stratified approach and model ensemble averaging were beneficial for accurate estimations. The research suggested that simple averaging procedures could advance multi-sensor applications integrating vis-NIR and MIR data for in situ soil spectroscopy, especially in regions with heterogeneous soil conditions.
Article
Astronomy & Astrophysics
S. De Angelis, F. Tosi, C. Carli, S. Potin, P. Beck, O. Brissaud, B. Schmitt, G. Piccioni, M. C. De Sanctis, F. Capaccioni
Summary: This study analyzed the spectral characteristics of hydrated sodium sulfate and anhydrous sodium sulfate, as well as their changes with temperature. The hydration absorption features in mirabilite show the strongest dependence with temperature, indicating potential diagnostic proxies for the detection of these minerals on planetary bodies.
Article
Nutrition & Dietetics
Marton egei, Sandor Takacs, Gabor Palotas, Gabriella Palotas, Peter Szuvandzsiev, Hussein Gehad Daood, Lajos Helyes, Zoltan Pek
Summary: This study aimed to find the best method to estimate the soluble solids content and lycopene content of tomatoes using visible and near-infrared data. The results showed that raw absorbance data with multiplicative scatter correction performed the best for soluble solids content prediction, while first derivatives of reflectance performed the best for lycopene content prediction.
FRONTIERS IN NUTRITION
(2022)
Article
Soil Science
Songchao Chen, Jie Xue, Zhou Shi
Summary: Ensemble modelling (EM) is widely used in soil information prediction, and a new method called spectral-guided ensemble modelling (S-GEM) has been proposed to improve soil spectroscopic prediction. The results show that S-GEM outperforms EM in predicting soil properties using vis-NIR spectra. Therefore, S-GEM has a high potential to enhance the accuracy of soil spectroscopic prediction.
Article
Chemistry, Analytical
Asa Gholizadeh, Joao A. Coblinski, Mohammadmehdi Saberioon, Eyal Ben-Dor, Ondrej Drabek, Jose A. M. Dematte, Lubos Boruuvka, Karel Nemecek, Sabine Chabrillat, Julie Dajcl
Summary: The study found that XRF spectra alone, especially those selected by the genetic algorithm, outperformed single vis-NIR and fused spectral data for predicting PTEs. Furthermore, prediction models derived from the fused data set, particularly those selected by the genetic algorithm, enhanced the accuracies of the models compared to single vis-NIR spectra. Overall, the results suggest that the genetic algorithm-selected spectra from the single XRF spectrometer and the fusion of vis-NIR and XRF are promising for accurate quantitative estimation of the mentioned PTEs.
Article
Geosciences, Multidisciplinary
Xianqiang Meng, Gen K. K. Li, Xiaoyong Long, Shilei Li, Junfeng Ji
Summary: A new method for measuring soil goethite/hematite ratios is presented, which utilizes the band position of electron pair transition (EPT) in diffuse reflectance spectra processed by continuum removal. The method is validated and shown to effectively eliminate the matrix effect. Application of the method to loess-paleosol sequences confirms its potential for improving the measurement of goethite/hematite ratios in sediments.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Chemistry, Analytical
Jie Hou, Siri Schone Ness, Jon Tschudi, Marion O'Farrell, Rune Veddegjerde, orjan Grottem Martinsen, Tor Inge Tonnessen, Runar Strand-Amundsen
Summary: This study used a porcine model to investigate the feasibility of using VIS-NIR spectroscopy to differentiate between degrees of ischemia-reperfusion injury in the small intestine. Two models were built and showed promising results in differentiating between control, ischemic, and reperfused intestinal segments, as well as viable versus non-viable segments. This method, combined with a PLS-DA model, appears to be a potentially real-time intraoperative method for assessing intestinal ischemia-reperfusion injury.
Article
Agronomy
Javier Reyes, Mareike Liess
Summary: Agricultural soils play a crucial role in storing soil organic carbon (SOC) and their management is important for mitigating climate change. This study collected continuous monitoring data of SOC within agricultural fields using an on-the-go spectrophotometer. The results show the high potential of on-the-go spectral data for field-scale spatial-temporal monitoring of SOC.
Article
Chemistry, Analytical
Ning Su, Fangfang Pan, Liusan Wang, Shizhuang Weng
Summary: This study aimed to establish a rapid determination method for quality detection of edible oils based on quantitatively analyzing palmitic acid, stearic acid, arachidic acid, and behenic acid. The support vector machine model with standard normal variate pretreatment showed the best predictive performance for the four fatty acids. Effective wavelengths selected by the successive projections algorithm were useful for establishing simplified prediction models, proving that Vis-NIR spectroscopy combined with multivariate methods can provide a rapid and accurate approach for fatty acids detection of edible oils.
Article
Agricultural Economics & Policy
Cristiano Franceschinis, Ulf Liebe, Mara Thiene, Juergen Meyerhoff, Damien Field, Alex McBratney
Summary: Soil degradation is a global phenomenon with limited knowledge about the economic value of soil functions. This study investigates the value assessment of soil functions using choice experiments and hybrid choice models, and explores the influence of personal norm activation and social norms on stated preferences.
AUSTRALIAN JOURNAL OF AGRICULTURAL AND RESOURCE ECONOMICS
(2022)
Article
Chemistry, Applied
John Kalitsis, Budiman Minasny, Ken Quail, Alexander McBratney
Summary: This study explores the opportunity to improve flour blending using linear programming and compares it to sequential ash curve blending. The findings show that linear programming could significantly improve flour blending outcomes, resulting in increased profitability and resource utilization in the milling industry.
Review
Environmental Sciences
Peter M. Kopittke, Asmeret Asefaw Berhe, Yolima Carrillo, Timothy R. Cavagnaro, Deli Chen, Qing-Lin Chen, Mercedes Roman Dobarco, Feike A. Dijkstra, Damien J. Field, Michael J. Grundy, Ji-Zheng He, Frances C. Hoyle, Ingrid Kogel-Knabner, Shu Kee Lam, Petra Marschner, Cristina Martinez, Alex B. McBratney, Eve McDonald-Madden, Neal W. Menzies, Luke M. Mosley, Carsten W. Mueller, Daniel V. Murphy, Uffe N. Nielsen, Anthony G. O'Donnell, Elise Pendall, Jennifer Pett-Ridge, Cornelia Rumpel, Iain M. Young, Budiman Minasny
Summary: Healthy soils play a crucial role in planetary survivability, providing not only calories but also other essential functions. However, intensive agriculture is rapidly degrading soils and diminishing their capacity to deliver vital functions, highlighting the need to focus on the multiple functions of soils for long-term human welfare and the survivability of the planet.
CRITICAL REVIEWS IN ENVIRONMENTAL SCIENCE AND TECHNOLOGY
(2022)
Article
Soil Science
Shuo Li, Raphael A. Viscarra Rossel, Richard Webster
Summary: The study investigated the cost-effectiveness of estimating soil organic carbon concentrations through measuring reflectance spectra, and found that different instruments had varying impacts on the accuracy and cost of soil sample analysis.
EUROPEAN JOURNAL OF SOIL SCIENCE
(2022)
Article
Soil Science
Philipp Baumann, Juhwan Lee, Thorsten Behrens, Asim Biswas, Johan Six, Gordon McLachlan, Raphael A. Viscarra Rossel
Summary: This study models the available water capacity (AWC) and soil water retention (SWR) of agricultural soils using visible-near-infrared spectra (vis-NIR) and the machine-learning method cubist. The spectroscopic approaches provide more accurate estimates compared to the traditional pedotransfer functions (PTFs). The results highlight the practicality and versatility of using spectroscopy with machine learning for assessing soil water characteristics.
EUROPEAN JOURNAL OF SOIL SCIENCE
(2022)
Article
Soil Science
Wartini Ng, Budiman Minasny, Edward Jones, Alex McBratney
Summary: This study evaluates different strategies to improve the model accuracy of a regional spectral library for soil organic carbon prediction and found that local and localized models perform better than other strategies when more than 20 local samples are used.
Article
Geography, Physical
Zefang Shen, Leonardo Ramirez-Lopez, Thorsten Behrens, Lei Cui, Mingxi Zhang, Lewis Walden, Johanna Wetterlind, Zhou Shi, Kenneth A. Sudduth, Yongze Song, Kevin Catambay, Raphael A. Viscarra Rossel
Summary: There is a growing interest in spectroscopy and soil organic carbon (SOC) modeling, but global models often struggle to generalize at local scales. To address this, the researchers propose using deep transfer learning (DTL) to extract useful information from large-scale soil spectral libraries (SSLs) and improve local modeling. The results demonstrate that this approach can enhance the accuracy of local SOC predictions and enable more accurate, rapid, and cost-effective estimation of SOC worldwide.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2022)
Article
Chemistry, Analytical
Nandkishor M. Dhawale, Viacheslav I. Adamchuk, Shiv O. Prasher, Raphael A. Viscarra Rossel, Ashraf A. Ismail
Summary: Through the analysis of 282 soil samples from Canadian agricultural fields, it was found that the portable mid-IR spectrophotometer can predict sand content more accurately, while the readily available dual-type vis-NIR spectrophotometer is better at predicting clay content. However, the ability to predict SOC content was not particularly good for the dataset used in this study.
Review
Green & Sustainable Science & Technology
Tom O'Donoghue, Budiman Minasny, Alex McBratney
Summary: Regenerative agriculture is a movement focused on soil health, biodiversity, and socioeconomic disparities, aiming to achieve sustainable agriculture through the regeneration of agricultural resources and improvement of ecosystem function. While the definition of this movement is yet to be confirmed, there are potential avenues to deliver its intentions through iterative design and emerging markets.
Article
Soil Science
Raphael A. Viscarra Rossel, Thorsten Behrens, Eyal Ben-Dor, Sabine Chabrillat, Jose Alexandre Melo Dematte, Yufeng Ge, Cecile Gomez, Cesar Guerrero, Yi Peng, Leonardo Ramirez-Lopez, Zhou Shi, Bo Stenberg, Richard Webster, Leigh Winowiecki, Zefang Shen
Summary: Spectroscopic measurements of soil samples are reliable and cost-effective for estimating soil properties. Machine learning is becoming more powerful in extracting information from spectra, and methods for interpreting the models exist.
EUROPEAN JOURNAL OF SOIL SCIENCE
(2022)
Article
Soil Science
Johanna Wetterlind, Raphael A. Viscarra Rossel, Markus Steffens
Summary: This study utilized diffuse reflectance spectroscopy to characterize and model the functional chemistry of SOC. NMR-derived C functional groups could be modeled with vis-NIR and mid-IR diffuse reflectance spectra, allowing for the characterization of SOC chemical composition on whole mineral soil samples and improving the spatial and temporal characterization of SOC composition.
EUROPEAN JOURNAL OF SOIL SCIENCE
(2022)
Article
Soil Science
Xiaowei Guo, Raphael A. Viscarra Rossel, Guocheng Wang, Liujun Xiao, Mingming Wang, Shuai Zhang, Zhongkui Luo
Summary: This study used two carbon models to investigate the turnover of particulate (POC) and mineral-associated organic carbon (MOC) and predict long-term soil organic carbon (SOC) dynamics. The results showed that the models constrained by POC, MOC, and COC had less parameter collinearity and uncertainty compared to models constrained by total SOC alone.
SOIL BIOLOGY & BIOCHEMISTRY
(2022)
Article
Environmental Studies
Yuxin Ma, Budiman Minasny, Valerie Viaud, Christian Walter, Brendan Malone, Alex McBratney
Summary: Soil organic carbon (SOC) redistribution plays a significant role in affecting soil quality. This study introduces a coupled-model combining RothPC-1 and a soil redistribution model to simulate SOC changes in the Lower Hunter Valley area. Results show that erosion is mainly predicted in upslope areas and deposition in low-lying areas. The study emphasizes the importance of considering soil redistribution in SOC dynamics modeling to avoid overestimation of SOC stocks.
Article
Ecology
Peipei Xue, Alex B. McBratney, Budiman Minasny, Tony O'Donnell, Vanessa Pino, Mario Fajardo, Wartini Ng, Neil Wilson, Rosalind Deaker
Summary: Human disturbances to soils can cause significant changes in soil physical, chemical, and biological properties. The impact of agricultural activities on the bacterial community in different soil orders and depths is still not well understood. This study used the concepts of genoform and phenoform to investigate the structure of soil bacterial communities at different depths in undisturbed forests (genosoils) and cultivated vineyards (phenosoils) in different soil orders. The results showed that cropping not only affected the bacterial community in the topsoil but also decreased its diversity in the subsoil. The similarity of bacterial structures among different soil orders increased with cropping. This study highlights the strong influence of agricultural activities on the distribution of soil microbes with depth, which is controlled by soil order.
SOIL ECOLOGY LETTERS
(2022)
Article
Soil Science
Yuanyuan Yang, Zefang Shen, Andrew Bissett, Raphael A. Viscarra Rossel
Summary: This study developed a new method to estimate the relative abundance and diversity of fungi in Australian soil using a large-scale dataset. Spectrotransfer functions were developed with state-of-the-art machine learning and publicly available soil and environmental data. The method showed promising results in explaining fungal abundance and diversity, with important predictors identified. Although less accurate than direct molecular approaches, this method provides a cost-effective way to supplement soil fungal abundance and diversity research in different agricultural and ecological settings.
