— This paper reviews on tungro disease predictive technique in rice fields. The success of a monitoring system can be measured by its ability to provide early detection of pests for prevention of a serious outbreak of rice tungro. This paper also discusses on spectral reflectance data of epidemiological and biophysical factors that are related to tungro outbreak and also propose using these data along with an algorithm to predict probability of tungro disease occurrence. This information then could be used in agricultural decision support system for taking actions according to the level of threats that have been predicted.
— Tungro, rice disease, spectral reflectance data, prediction, decision support system.
The authors are with the Universiti Teknologi Malaysia, Advanced Informatics School, Kuala Lumpur, Malaysia (e-mail: firstname.lastname@example.org, email@example.com, firstname.lastname@example.org).
Cite: Salwani Mohd Daud, Hossein Jafari Jozani, and Farnaz Arab, " A Review on Predicting Outbreak of Tungro Disease in Rice Fields Based on Epidemiological and Biophysical Factors," International Journal of Innovation, Management and Technology vol. 4, no. 4, pp. 447-450, 2013.