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X Demographics
Mendeley readers
| Title |
mPD-APP: a mobile-enabled plant diseases diagnosis application using convolutional neural network toward the attainment of a food secure world
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, September 2023
|
| DOI | 10.3389/frai.2023.1227950 |
| Pubmed ID | |
| Authors |
Emmanuel Oluwatobi Asani, Yomi Phineas Osadeyi, Adekanmi A. Adegun, Serestina Viriri, Joyce A. Ayoola, Ebenezer Ayorinde Kolawole |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 3 | 21% |
| Researcher | 2 | 14% |
| Professor | 1 | 7% |
| Student > Master | 1 | 7% |
| Unknown | 7 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 14% |
| Engineering | 2 | 14% |
| Agricultural and Biological Sciences | 1 | 7% |
| Earth and Planetary Sciences | 1 | 7% |
| Business, Management and Accounting | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 7 | 50% |