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
54
Big Data for weed control and crop protection
F.K. van Evert, S. Fountas, Dušan Jakovetić et al. · Weed Research · 2017 · 113 citations · Full text
Computing, Agronomy, Data Science +17
1–5 of 54
392
4
h-index
Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier, France
3 publications · 63 citations
3
h-index
3
h-index
3
h-index
3
h-index
1–5 of 392
179
Earlham Institute
Norwich, United Kingdom
6 h-index
18 publications
295 citations

John Innes Centre
Norwich, United Kingdom
4 h-index
6 publications
122 citations
Wageningen University & Research
Wageningen, The Netherlands
4 h-index
7 publications
357 citations
Iowa State University
Ames, United States
3 h-index
8 publications
126 citations
Université Paris-Saclay
Gif-sur-Yvette, France
3 h-index
7 publications
127 citations
Institut de Recherche pour le Développement
Marseille, France
3 h-index
4 publications
77 citations

Université de Montpellier
Montpellier, France
3 h-index
11 publications
251 citations

University of Exeter
Exeter, United Kingdom
3 h-index
7 publications
284 citations
1–8 of 179
6 publications · 133 citations
6
h-index
3 publications · 40 citations
3
h-index
2 publications · 50 citations
2
h-index
2 publications · 139 citations
2
h-index
1 publications · 25 citations
1
h-index
1–5