Rice Blast Disease Forecasting for Northern Philippines

• Main Authors: Fernandez, Proceso L, Jr, Malicdem, Alvin R
• Format: text
• Published: Archīum Ateneo 2015
• Subjects: machine learning; artificial neural network; support vector machine; rice blast disease; Artificial Intelligence and Robotics; Computer Sciences
• Online Access: https://archium.ateneo.edu/discs-faculty-pubs/79; https://archium.ateneo.edu/cgi/viewcontent.cgi?article=1078&context=discs-faculty-pubs
• Institution: Ateneo De Manila University

Rice blast disease has become an enigmatic problem in several rice growing ecosystems of both tropical and temperate regions of the world. In this study, we develop models for predicting the occurrence and severity of rice blast disease, with the aim of helping to prevent or at least mitigate the sp...