Agronomic Data Integration

Agronomic Data Integration is the systematic process of harmonizing, aligning, and synthesizing heterogeneous agricultural data sources—such as soil properties, crop health, weather, and yield maps—into a unified framework that enables data-driven decision-making in precision farming, particularly for optimizing variable-rate herbicide application through spatially explicit, temporally relevant, and context-aware analysis.

54

Publications

2.1K

Citations

392

Authors

179

Institutions

Publications per year

2017–2026

41

Authors

392

  1. RD
    Robert Davey

    Earlham Institute, United Kingdom

    4 publications · 106 citations

    4

    h-index

  2. CJ
    Clément Jonquet

    Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier, France

    3 publications · 63 citations

    3

    h-index

  3. SL
    Sabina Leonelli

    University of Exeter, United Kingdom

    3 publications · 148 citations

    3

    h-index

  4. PL
    Pierre Larmande

    Institut de Recherche pour le Développement, France

    3 publications · 63 citations

    3

    h-index

  5. AV
    Aravind Venkatesan

    European Bioinformatics Institute, United Kingdom

    3 publications · 63 citations

    3

    h-index

1–5 of 392

Venues

  1. F1000Research

    6 publications · 133 citations

    6

    h-index

  2. Journal of Soil and Water Conservation

    3 publications · 40 citations

    3

    h-index

  3. Agronomy Journal

    2 publications · 50 citations

    2

    h-index

  4. Computers and Electronics in Agriculture

    2 publications · 139 citations

    2

    h-index

  5. PLoS ONE

    1 publications · 25 citations

    1

    h-index

1–5