You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
An Effective Approach for Plant Monitoring, Classification and Prediction Using IoT and Machine Learning
|
---|---|
Chapter number | 13 |
Book title |
Artificial Intelligence and Evolutionary Computations in Engineering Systems
|
Published by |
Springer, Singapore, January 2020
|
DOI | 10.1007/978-981-15-0199-9_13 |
Book ISBNs |
978-9-81-150198-2, 978-9-81-150199-9
|
Authors |
Kumari Shibani, K. S. Sendhil Kumar, G. Siva Shanmugam, Shibani, Kumari, Sendhil Kumar, K. S., Siva Shanmugam, G. |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 27 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 15% |
Student > Master | 3 | 11% |
Student > Bachelor | 2 | 7% |
Researcher | 2 | 7% |
Student > Doctoral Student | 2 | 7% |
Other | 1 | 4% |
Unknown | 13 | 48% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 8 | 30% |
Engineering | 3 | 11% |
Environmental Science | 1 | 4% |
Chemistry | 1 | 4% |
Social Sciences | 1 | 4% |
Other | 0 | 0% |
Unknown | 13 | 48% |