Machine learning for digital soil mapping: Applications, challenges and suggested solutions von Wadoux, Alexandre M.J.-C., Minasny, Budiman, McBratney, Alex B.

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Two-dimensional empirical mode decomposition of heavy metal spatial variation in agricultural soils, Southeast China von Wu, Chunfa, Huang, Jingyi, Minasny, Budiman, Zhu, Hao

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To spike or to localize? Strategies to improve the prediction of local soil properties using regional spectral library von Ng, Wartini, Minasny, Budiman, Jones, Edward, McBratney, Alex

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Pedology and digital soil mapping (DSM) von Ma, Yuxin, Minasny, Budiman, Malone, Brendan P., Mcbratney, Alex B.

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Machine learning and soil sciences: a review aided by machine learning tools von Padarian, José, Minasny, Budiman, McBratney, Alex B.

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Australian soil microbiome: A first sightseeing regional prediction driven by cycles of soil temperature and pedogenic variations von Pino, Vanessa, Fajardo, Mario, McBratney, Alex, Minasny, Budiman, Wilson, Neil, Baldock, Chris

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Soil Properties Drive Microbial Community Structure in a Large Scale Transect in South Eastern Australia von Xue, Pei-Pei, Carrillo, Yolima, Pino, Vanessa, Minasny, Budiman, McBratney, Alex. B.

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Open digital mapping as a cost-effective method for mapping peat thickness and assessing the carbon stock of tropical peatlands von Rudiyanto, Minasny, Budiman, Setiawan, Budi Indra, Saptomo, Satyanto Krido, McBratney, Alex B.

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Drainage increases CO2 and N2O emissions from tropical peat soils von Prananto, Jeremy Aditya, Minasny, Budiman, Comeau, Louis‐Pierre, Rudiyanto, Rudiyanto, Grace, Peter

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Using deep learning for digital soil mapping von Padarian, José, Minasny, Budiman, McBratney, Alex B.

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Distribution of soil bacteria involved in C cycling across extensive environmental and pedogenic gradients von Xue, Peipei, Minasny, Budiman, McBratney, Alex, Pino, Vanessa, Fajardo, Mario, Luo, Yu

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Regenerative Agriculture and Its Potential to Improve Farmscape Function von O’Donoghue, Tom, Minasny, Budiman, McBratney, Alex

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Pedotransfer Functions in Earth System Science: Challenges and Perspectives von Van Looy, Kris, Bouma, Johan, Herbst, Michael, Koestel, John, Minasny, Budiman, Mishra, Umakant, Montzka, Carsten, Nemes, Attila, Pachepsky, Yakov A., Padarian, José, Schaap, Marcel G., Tóth, Brigitta, Verhoef, Anne, Vanderborght, Jan, Ploeg, Martine J., Weihermüller, Lutz, Zacharias, Steffen, Zhang, Yonggen, Vereecken, Harry

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Evaluating a low‐cost portable NIR spectrometer for the prediction of soil organic and total carbon using different calibration models von Sharififar, Amin, Singh, Kanika, Jones, Edward, Ginting, Frisa Irawan, Minasny, Budiman, Aitkenhead, Matt

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Carbon to nitrogen stoichiometry of organic amendments influences the improvement of aggregate stability of a cropping vertisol von Du, Mingming, Minasny, Budiman, Rabbi, Sheikh M. F.

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Digital mapping of soil organic carbon contents and stocks in Denmark von Adhikari, Kabindra, Hartemink, Alfred E, Minasny, Budiman, Bou Kheir, Rania, Greve, Mette B, Greve, Mogens H

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POLARIS Soil Properties: 30‐m Probabilistic Maps of Soil Properties Over the Contiguous United States von Chaney, Nathaniel W., Minasny, Budiman, Herman, Jonathan D., Nauman, Travis W., Brungard, Colby W., Morgan, Cristine L. S., McBratney, Alexander B., Wood, Eric F., Yimam, Yohannes

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Contrasting soil penetration resistance values acquired from dynamic and motor-operated penetrometers von Minasny, Budiman

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Some limitations of the concordance correlation coefficient to characterise model accuracy von Wadoux, Alexandre M.J.-C., Minasny, Budiman

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Game theory interpretation of digital soil mapping convolutional neural networks von Padarian, José, McBratney, Alex B., Minasny, Budiman

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