ICAR Research Data Repository for Knowledge Management
Machine learning techniques in disease forecasting: a case study on rice blast prediction.
DIR@IMTECH: CSIR-Institute of Microbial Technology
View Archive Info| Field | Value | |
| Title |
Machine learning techniques in disease forecasting: a case study on rice blast prediction.
|
|
| Creator |
Kaundal, Rakesh
Kapoor, Amar S Raghava, G.P.S. |
|
| Subject |
QR Microbiology
|
|
| Description |
Our case study demonstrated that SVM is better than existing machine learning techniques and conventional REG approaches in forecasting plant diseases. In this direction, we have also developed a SVM-based web server for rice blast prediction, a first of its kind worldwide, which can help the plant science community and farmers in their decision making process. The server is freely available at http://www.imtech.res.in/raghava/rbpred/.
|
|
| Publisher |
Biomedcentral
|
|
| Date |
2006
|
|
| Type |
Article
PeerReviewed |
|
| Format |
application/pdf
|
|
| Identifier |
http://crdd.osdd.net/open/131/1/raghava2006.pdf
Kaundal, Rakesh and Kapoor, Amar S and Raghava, G.P.S. (2006) Machine learning techniques in disease forecasting: a case study on rice blast prediction. BMC bioinformatics, 7. p. 485. ISSN 1471-2105 |
|
| Relation |
http://www.biomedcentral.com/1471-2105/7/485
http://crdd.osdd.net/open/131/ |
|