Data-Driven Agriculture is an agricultural system paradigm that integrates advanced data analytics, real-time sensor inputs, and predictive modeling to optimize decision-making processes in farming practices, distinguishing itself from traditional approaches through its reliance on empirical data and algorithmic inference for precision and efficiency.
610
Publications
38.5K
Citations
2K
Authors
829
Institutions
Publications per year
2017–2026
487
Parents
Publications
610
1–5 of 610
Authors
2K
- JM
6
h-index
- RC
5
h-index
- LF
4
h-index
- VM
4
h-index
- VE
4
h-index
1–5 of 2K
Institutions
829
Agricultural Research Service
Washington, United States
11 h-index
30 publications
1.4K citations
Wageningen University & Research
Wageningen, The Netherlands
10 h-index
27 publications
2.5K citations
Commonwealth Scientific and Industrial Research Organisation
Canberra, Australia
9 h-index
20 publications
1.4K citations
Lovely Professional University
Phagwāra, India
7 h-index
10 publications
253 citations
Chinese Academy of Sciences
Beijing, China
7 h-index
11 publications
1.3K citations
Kalasalingam Academy of Research and Education
Srivilliputhur, India
6 h-index
16 publications
981 citations
University of Florida
Gainesville, United States
6 h-index
9 publications
1.2K citations
University College Dublin
Dublin, Ireland
6 h-index
13 publications
767 citations
1–8 of 829
Venues
- Computers and Electronics in Agriculture
27 publications · 3K citations
22
h-index
- Agricultural Systems
11 publications · 1.2K citations
11
h-index
- Agronomy
10 publications · 1.5K citations
11
h-index
- Sustainability
9 publications · 340 citations
11
h-index
- IEEE Access
9 publications · 873 citations
11
h-index
1–5