The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Title |
A field-based recommender system for crop disease detection using machine learning
|
---|---|
Published in |
Frontiers in Artificial Intelligence, April 2023
|
DOI | 10.3389/frai.2023.1010804 |
Pubmed ID | |
Authors |
Jonathan Omara, Estefania Talavera, Daniel Otim, Dan Turcza, Emmanuel Ofumbi, Godliver Owomugisha |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Uganda | 2 | 25% |
Netherlands | 1 | 13% |
Switzerland | 1 | 13% |
United States | 1 | 13% |
Unknown | 3 | 38% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 75% |
Scientists | 2 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 32 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 3 | 9% |
Lecturer > Senior Lecturer | 1 | 3% |
Librarian | 1 | 3% |
Unspecified | 1 | 3% |
Lecturer | 1 | 3% |
Other | 3 | 9% |
Unknown | 22 | 69% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 13% |
Unspecified | 1 | 3% |
Environmental Science | 1 | 3% |
Arts and Humanities | 1 | 3% |
Mathematics | 1 | 3% |
Other | 3 | 9% |
Unknown | 21 | 66% |