Comparison of soil property predictions in Lithuanian croplands using UAV, satellite, EMI data and machine learning

Computers and Electronics in Agriculture 2026 Open access

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Authors: R. Žydelis, L. Weihermüller, L.C. Gomes, A.B. Møller, F. Castaldi, J. Volungevičius, A. Kavaliauskas, T. Koganti, J. Wetterlind, İ. Cinkaya, L. Borůvka, F. van Egmond
+7 more S. Higgins, F. Liebisch, V. Povilaitis, A. Kazlauskaitė-Jadzevičė, K. Amalevičiūtė-Volungė, S. Pranaitienė, E. Vaudour
DOI: 10.1016/j.compag.2026.111543
Cited by: 2
References: 52

Fields of Study & Subjects

Soil Geostatistics and Mapping Remote Sensing in Agriculture Soil Moisture and Remote Sensing

Publication details

Journal / source
Computers and Electronics in Agriculture
Publisher
Elsevier BV
Volume
244
Pages
111543–111543
Publication date
9 February 2026
Language
EN