Soil Sensor Data Fusion

Soil Sensor Data Fusion is a data integration methodology that combines heterogeneous measurements from multiple soil sensors to produce a more accurate, consistent, and comprehensive representation of soil conditions than could be achieved by individual sensors alone.

56

Publications

3.1K

Citations

231

Authors

127

Institutions

Publications per year

2017–2026

44

Publications

56

1–5 of 56

Authors

231

  1. AM
    Abdul Mounem Mouazen

    Ghent University, Belgium

    8 publications · 322 citations

    8

    h-index

  2. SC
    Songchao Chen

    Zhejiang University, China

    6 publications · 425 citations

    6

    h-index

  3. ZS
    Zhou Shi

    Zhejiang University, China

    5 publications · 309 citations

    5

    h-index

  4. MM
    Marcelo Mancini

    Universidade Federal de Lavras, Brazil

    3 publications · 95 citations

    3

    h-index

  5. LR
    Luiz Roberto Guimarães Guilherme

    Universidade Federal de Lavras, Brazil

    3 publications · 95 citations

    3

    h-index

1–5 of 231

Venues

  1. Geoderma

    11 publications · 687 citations

    11

    h-index

  2. Remote Sensing of Environment

    3 publications · 507 citations

    3

    h-index

  3. Environmental Pollution

    3 publications · 110 citations

    3

    h-index

  4. Sensors

    3 publications · 112 citations

    3

    h-index

  5. Soil Science Society of America Journal

    SSSAJ · 2 publications · 42 citations

    2

    h-index

1–5