| Text | 454415 2020 vis NIR reflectance spectroscopy prediction of soil properties multivariate and statistical ensemble methods. Comparison of different multivariate calibrations and ensemble methods for estimating selected soil properties with vis NIR reflectance spectroscopy Davide Fragnito , Natalia Leone, Valeria Ancona, Domenico Vitale, Antonio Lucadamo. Master s Graduate in Statistical, Actuarial and Financial Sciences, Water Research Institute, National Research Council, Bari, CMCC Foundation, Euro Mediterranean Center on Climatic Change, Viterbo, DEMM, Department of Law, Economics, Management and quantitative Methods, University of Sannio, Benevento. Corresponding author. Sustainable soil management requires a correct assessment of soil chemical and physical properties. Historically, this has been gained through conventional laboratory analyses, which are considered costly and time consuming, particularly when a large number of soil samples need to be analysed. An alternative, faster and less expensive, approach is based on the use of reflectance spectroscopy in the visNIR domain. This approach implies the calibration of predictive models that relate the spectral reflectance to soil properties. The goodness of the models can be particularly influenced by the multivariate methods used. In this article, we compare the performance of different multivariate and statistical ensemble methods for estimating some basic soil properties, such as sand, silt, clay, and organic carbon in the specific pedo environmental conditions of an important agricultural area in southern Italy. Metodi e analisi statistiche 2020 Toma E., d Ovidio F. 978 88 6629 023 0 Published version https //www.uniba.it/ateneo/editoria stampa e media/linea editoriale/fuori collana/MAS2020.pdf Capitolo Contributo in volume natalialeone LEONE NATALIA davidefragnito FRAGNITO DAVIDE valeria.ancona ANCONA VALERIA |
