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X Demographics
Mendeley readers
| Title |
Predicting Biomass and Yield in a Tomato Phenotyping Experiment Using UAV Imagery and Random Forest
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, May 2020
|
| DOI | 10.3389/frai.2020.00028 |
| Pubmed ID | |
| Authors |
Kasper Johansen, Mitchell J. L. Morton, Yoann Malbeteau, Bruno Aragon, Samer Al-Mashharawi, Matteo G. Ziliani, Yoseline Angel, Gabriele Fiene, Sónia Negrão, Magdi A. A. Mousa, Mark A. Tester, Matthew F. McCabe |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| India | 1 | 33% |
| Switzerland | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 137 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 12% |
| Researcher | 13 | 9% |
| Student > Master | 11 | 8% |
| Lecturer | 6 | 4% |
| Unspecified | 5 | 4% |
| Other | 14 | 10% |
| Unknown | 72 | 53% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 17% |
| Engineering | 12 | 9% |
| Computer Science | 6 | 4% |
| Environmental Science | 5 | 4% |
| Unspecified | 5 | 4% |
| Other | 7 | 5% |
| Unknown | 79 | 58% |