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X Demographics
Mendeley readers
Title |
Predicting Biomass and Yield in a Tomato Phenotyping Experiment Using UAV Imagery and Random Forest
|
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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 % |
---|---|---|
India | 1 | 33% |
Switzerland | 1 | 33% |
Unknown | 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 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 136 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 16 | 12% |
Researcher | 13 | 10% |
Student > Master | 11 | 8% |
Lecturer | 6 | 4% |
Lecturer > Senior Lecturer | 4 | 3% |
Other | 11 | 8% |
Unknown | 75 | 55% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 23 | 17% |
Engineering | 12 | 9% |
Computer Science | 6 | 4% |
Environmental Science | 5 | 4% |
Biochemistry, Genetics and Molecular Biology | 2 | 1% |
Other | 6 | 4% |
Unknown | 82 | 60% |