MARATTO

dataset · Centre de coopération internationale en recherche agronomique pour le développement

Vis-NIR and MIR spectral data for texture, soil organic carbon and total nitrogen prediction, Murehwa, Zimbabwe

2026Open accessUniversity of Zimbabwe

Abstract

These are the raw spectra and lab data of the paper: <br> Nyawasha, R. W., Wadoux, A. M. J.-C., Todoroff, P., Chikowo, R., Falconnier, G. N., Lagorsse, M., Corbeels, M., & Cardinael, R. (2024). Multivariate regional deep learning prediction of soil properties from near-infrared, mid-infrared and their combined spectra. Geoderma Regional, 37, e00805. https://doi.org/10.1016/j.geodrs.2024.e00805

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

DOI: 10.18167/dvn1/jq1yf5

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.