Sensor-Based Crop Diagnostics is a diagnostic methodology that employs data from proximal and remote sensors to assess crop health, nutrient status, water stress, and pest infestations with spatial and temporal precision, distinguishing itself through non-invasive, real-time monitoring and data-driven decision support in agricultural production systems.
158
Publications
10.6K
Citations
636
Authors
263
Institutions
Publications per year
2017–2026
109
Parents
Publications
158
Internet of Things Platform for Smart Farming: Experiences and Lessons Learnt
Prem Prakash Jayaraman, Ali Yavari, Dimitrios Georgakopoulos et al. · Sensors · 2016 · 424 citations · Full text
Agriculture, Agronomy, Crop Sciences +16
1–5 of 158
Authors
636
- QC
3
h-index
- LYLin Yuan
National Engineering Research Center for Information Technology in Agriculture, China
2 publications · 41 citations
2
h-index
- AC
2
h-index
- AM
2
h-index
- HL
2
h-index
1–5 of 636
Institutions
263
Jiangsu University
Zhenjiang, China
5 h-index
20 publications
1.2K citations
Chinese Academy of Sciences
Beijing, China
3 h-index
10 publications
1.2K citations
University of Wisconsin–Madison
Madison, United States
3 h-index
5 publications
122 citations
Ministry of Agriculture and Rural Affairs
Beijing, China
3 h-index
17 publications
497 citations
University of Minnesota
Minneapolis, United States
2 h-index
4 publications
176 citations
Institute of Intelligent Machines
Hefei, China
2 h-index
8 publications
1.2K citations
University of Bonn
Bonn, Germany
2 h-index
6 publications
2.4K citations
Universidade de São Paulo
São Paulo, Brazil
2 h-index
6 publications
240 citations
1–8 of 263
Venues
- Computers and Electronics in Agriculture
15 publications · 1.7K citations
14
h-index
- Biosystems Engineering
5 publications · 457 citations
5
h-index
- Sensors
4 publications · 563 citations
4
h-index
- Journal of Physics Conference Series
3 publications · 55 citations
3
h-index
- Multimedia Tools and Applications
3 publications · 98 citations
3
h-index
1–5