Bulk Density Estimation

Bulk Density Estimation is a methodological framework in soil science that quantifies the mass of dry soil per unit volume through indirect measurements and predictive modeling, distinguished from direct laboratory measurement by its reliance on proximal or remote sensing data and empirical or machine learning-based inference techniques.

674

Publications

34.9K

Citations

2.2K

Authors

902

Institutions

Publications per year

2017–2026

183

Authors

2.2K

  1. SE
    Salaheldin Elkatatny

    King Fahd University of Petroleum and Minerals, Saudi Arabia

    9 publications · 358 citations

    9

    h-index

  2. SN
    S.O. Nelson

    Agricultural Research Service, United States

    8 publications · 523 citations

    8

    h-index

  3. TR
    Tusheng Ren

    China Agricultural University, China

    8 publications · 378 citations

    8

    h-index

  4. LF
    Luiz F. Pires

    Universidade Estadual de Ponta Grossa, Brazil

    7 publications · 172 citations

    7

    h-index

  5. RH
    Robert Horton

    Iowa State University, United States

    7 publications · 335 citations

    7

    h-index

1–5 of 2.2K

Venues

  1. Soil Science Society of America Journal

    SSSAJ · 62 publications · 4.3K citations

    34

    h-index

  2. Soil and Tillage Research

    23 publications · 926 citations

    19

    h-index

  3. Geoderma

    24 publications · 2K citations

    18

    h-index

  4. Astronomy and Astrophysics

    15 publications · 733 citations

    15

    h-index

  5. Soil Use and Management

    11 publications · 587 citations

    11

    h-index

1–5