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 |
Measurement of Disease Severity of Rice Crop Using Machine Learning and Computational Intelligence
|
---|---|
Chapter number | 1 |
Book title |
Cognitive Science and Artificial Intelligence
|
Published by |
Springer, Singapore, January 2018
|
DOI | 10.1007/978-981-10-6698-6_1 |
Book ISBNs |
978-9-81-106697-9, 978-9-81-106698-6
|
Authors |
Prabira Kumar Sethy, Baishalee Negi, Nalini Kanta Barpanda, Santi Kumari Behera, Amiya Kumar Rath |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 52 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 9 | 17% |
Student > Ph. D. Student | 6 | 12% |
Other | 5 | 10% |
Student > Bachelor | 3 | 6% |
Student > Master | 3 | 6% |
Other | 6 | 12% |
Unknown | 20 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 17 | 33% |
Engineering | 7 | 13% |
Agricultural and Biological Sciences | 3 | 6% |
Unspecified | 1 | 2% |
Materials Science | 1 | 2% |
Other | 1 | 2% |
Unknown | 22 | 42% |