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Mendeley readers
Chapter title |
Estimating Agriculture NIR Images from Aerial RGB Data
|
---|---|
Chapter number | 41 |
Book title |
Computational Science – ICCS 2019
|
Published by |
Springer, Cham, June 2019
|
DOI | 10.1007/978-3-030-22734-0_41 |
Book ISBNs |
978-3-03-022733-3, 978-3-03-022734-0
|
Authors |
Daniel Caio de Lima, Diego Saqui, Steve Ataky, Lúcio A. de C. Jorge, Ednaldo José Ferreira, José Hiroki Saito |
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 % |
---|---|---|
Student > Ph. D. Student | 3 | 21% |
Student > Master | 3 | 21% |
Student > Bachelor | 1 | 7% |
Student > Doctoral Student | 1 | 7% |
Researcher | 1 | 7% |
Other | 0 | 0% |
Unknown | 5 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 4 | 29% |
Agricultural and Biological Sciences | 2 | 14% |
Computer Science | 2 | 14% |
Unknown | 6 | 43% |