Disease Manifestation Prediction from Weather Data Using Extreme Learning Machine
Bhupesh Kumar Singh, R. P. Singh, Tejasvee Bisen, Shweta Kharayat · 2018
Potato Late Blight is caused by Oomycete pathogen Phytophthora infestans, considered to be a community disease due to rapidity of spread. It causes huge economic losses estimated at US dollars 898 billion Worldwide. The motivation behind this the work is to reduce the economic loss caused due to late blight in potato. So far statistical approaches have been used for predicting the disease outbreak. It predicts late blight disease in potatoes with the help of weather parameters with a new approach. Extreme Learning Machine is used as an intelligent learning agent for generating the prediction model. Experiments are conducted on AICR potato database. Proposed approach was tested for several variations and could achieve accuracy of 91.5%.