A real time computational and statistical model (with high availability) of early warning for plant protection and pest control for crops (exp. Kutki)

Picrorhiza Kurroa (Kutki) is the crop grown in India which we are analyzing here in Himalayan region. Farmers face a great loss of production as well as economic loss due to the disease in plants or may be pest attacks on immense level. So, they use pesticides and fertilizers for better crop growth but these chemicals harm the crops in excess quantity. And also inhaling of these chemicals leads to liver disorder, asthma, cancer etc. The use of pesticides can be reduced with the help of forecasting of diseases and pest infection in limited time framework. So in this paper we are presenting the development of system using beta regression model for early warning plant protection and pest control. This system also has a mechanism to alert farmers via email/Short Message Service (SMS) technology regarding the plant disease of Picrorhiza Kurroa (kutki) plant.