Online software for forewarning of onion thrips

Onion, Allium cepa, contribution is significant in foreign exchange under vegetables in India. Onion thrips, Thrips tabaci Lindeman, is a potential pest of onion and causes considerable losses in the yield. Onion production as well as infestation of crop pests and diseases is highly related to weather. These losses can be reduced to a considerable extent if their occurrence and severity is known in advance. Indian Agricultural Statistical Research Institute (IASRI) have developed weather based forewarning models on the data taken from Directorate of Onion and Garlic Research (DOGR), Pune. Models have been developed for thirteen dates of sowing for the forewarning of crop age at first appearance of thrips, crop age at peak population of thrips and maximum thrips population. To disseminate the information in effective manner, online software has been developed based on these weather models. Online system has been developed using three-tier architecture. Client layer in implemented using Hypertext Markup Language (HTML), Cascading Style Sheet (CSS) and Java script. Application layer is implemented using Java Server Pages (JSP) and database layer is implemented in Microsoft SQL Server. The models developed were tested with observed and predicted value and percentage deviation was computed.