| Title |
Experimental analysis and evaluation of wide residual networks based agricultural disease identification in smart agriculture system
|
|---|---|
| Published in |
EURASIP Journal on Wireless Communications and Networking, December 2019
|
| DOI | 10.1186/s13638-019-1613-z |
| Authors |
Haoxu Yang, Lutao Gao, Niansheng Tang, Po Yang |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 24% |
| Student > Master | 5 | 9% |
| Lecturer | 4 | 7% |
| Professor | 3 | 5% |
| Student > Doctoral Student | 2 | 3% |
| Other | 6 | 10% |
| Unknown | 24 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 17 | 29% |
| Engineering | 5 | 9% |
| Agricultural and Biological Sciences | 5 | 9% |
| Business, Management and Accounting | 3 | 5% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Other | 2 | 3% |
| Unknown | 24 | 41% |