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

Authors

912

  1. JA
    José Alexandre Melo Demattê

    Universidade de São Paulo, Brazil

    7 publications · 444 citations

    7

    h-index

  2. NC
    Nilton Curi

    Universidade Federal de Lavras, Brazil

    5 publications · 309 citations

    5

    h-index

  3. LR
    Luiz Roberto Guimarães Guilherme

    Universidade Federal de Lavras, Brazil

    5 publications · 309 citations

    5

    h-index

  4. RT
    Ruhollah Taghizadeh‐Mehrjardi

    University of Tübingen, Germany

    5 publications · 248 citations

    5

    h-index

  5. SH
    Sérgio Henrique Godinho Silva

    Universidade Federal de Lavras, Brazil

    5 publications · 309 citations

    5

    h-index

1–5 of 912

Venues

  1. Geoderma

    38 publications · 3K citations

    32

    h-index

  2. Soil Science Society of America Journal

    SSSAJ · 18 publications · 3.2K citations

    17

    h-index

  3. Soil and Tillage Research

    10 publications · 1.1K citations

    10

    h-index

  4. Remote Sensing

    8 publications · 470 citations

    8

    h-index

  5. CATENA

    8 publications · 587 citations

    8

    h-index

1–5