Visible, near-infrared, and shortwave-infrared spectra as an input variable for digital mapping of soil organic carbon by Vahid Khosravi, Asa Gholizadeh, Radka Kodešová, Prince Chapman Agyeman, Mohammadmehdi Saberioon, Luboš Borůvka

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Comparison of Field and Laboratory Wet Soil Spectra in the Vis-NIR Range for Soil Organic Carbon Prediction in the Absence of Laboratory Dry Measurements by James Kobina Mensah Biney, Luboš Borůvka, Prince Chapman Agyeman, Karel Němeček, Aleš Klement

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Prediction of nickel concentration in peri-urban and urban soils using hybridized empirical bayesian kriging and support vector machine regression by Prince Chapman Agyeman, Ndiye Michael Kebonye, Kingsley John, Luboš Borůvka, Radim Vašát, Olufadekemi Fajemisim

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Soil organic carbon prediction with terrain derivatives using geostatistics and sequential Gaussian simulation by Kingsley John, Isong Isong Abraham, Ndiye Michael Kebonye, Prince Chapman Agyeman, Esther Okon Ayito, Ahado Samuel Kudjo

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Using Machine Learning Algorithms to Estimate Soil Organic Carbon Variability with Environmental Variables and Soil Nutrient Indicators in an Alluvial Soil by Kingsley JOHN, Isong Abraham Isong, Ndiye Michael Kebonye, Esther Okon Ayito, Prince Chapman Agyeman, Sunday Marcus Afu

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Exploring the Suitability of UAS-Based Multispectral Images for Estimating Soil Organic Carbon: Comparison with Proximal Soil Sensing and Spaceborne Imagery by James Kobina Mensah Biney, Mohammadmehdi Saberioon, Luboš Borůvka, Jakub Houška, Radim Vašát, Prince Chapman Agyeman, João Augusto Coblinski, Aleš Klement

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Do model choice and sample ratios separately or simultaneously influence soil organic matter prediction? by Kingsley John, Yassine Bouslihim, Kokei Ikpi Ofem, Lahcen Hssaini, Rachid Razouk, Paul Bassey Okon, Isong Abraham Isong, Prince Chapman Agyeman, Ndiye Michael Kebonye, Chengzhi Qin

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