@article{open131,
          volume = {7},
          author = {Rakesh Kaundal and Amar S Kapoor and G.P.S. Raghava},
            note = {OPEN ACCESS},
           title = {Machine learning techniques in disease forecasting: a case study on rice blast prediction.},
       publisher = {Biomedcentral},
         journal = {BMC bioinformatics},
           pages = {485},
            year = {2006},
             url = {http://crdd.osdd.net/open/131/},
        abstract = {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/.}
}