Soil Texture Estimation
Soil Texture Estimation is a methodological framework in soil sensor signal processing that characterizes the relative proportions of sand, silt, and clay in soil through the analysis of sensor-derived signals, distinguishing itself by enabling non-invasive, in-situ classification of soil textural classes essential for precision agriculture and environmental monitoring.
243
Publications
16.2K
Citations
912
Authors
397
Institutions
Publications per year
2017–2026
117
243
1–5 of 243
912
7
h-index
5
h-index
Universidade Federal de Lavras, Brazil
5 publications · 309 citations
5
h-index
5
h-index
5
h-index
1–5 of 912
397
Institut de Recherche pour le Développement
Marseille, France
12 h-index
34 publications
1.8K citations

Chinese Academy of Sciences
Beijing, China
10 h-index
31 publications
3.3K citations

Institut Agro Montpellier
Montpellier, France
6 h-index
15 publications
614 citations
Universidade de São Paulo
São Paulo, Brazil
6 h-index
28 publications
1.4K citations

Agricultural Research Service
Washington, United States
6 h-index
9 publications
468 citations
Institute of Soil Science
Nanjing, China
5 h-index
21 publications
1.4K citations
China Agricultural University
Beijing, China
5 h-index
17 publications
395 citations
Centre d'Études Spatiales de la Biosphère
Toulouse, France
5 h-index
16 publications
1K citations
1–8 of 397
38 publications · 3K citations
32
h-index
SSSAJ · 18 publications · 3.2K citations
17
h-index
10 publications · 1.1K citations
10
h-index
8 publications · 470 citations
8
h-index
8 publications · 587 citations
8
h-index
1–5