Ontology Based System for Pests and Disease Management of Grapes in India

摘要

About 35% of India's Gross National Product comes through agricultural sector. Any losses in gross agricultural product also affect Indian economy. Percentage of crop yield loss due to pests and dieses is considerable. As grapes are grown in most of states in India, it plays important role in gross crop yield. Having a computerized system for managing pests and disease occurring in grapes will help in increasing total yield of grapes. The paper proposes expert system for pest and disease management of grapes where we provide forecasting of probable pests and diseases. This work considers current weather conditions at grape farm location for forecasting. Knowledge base for pests and disease is generated by extracting information from internet and storing it as OWL document. Inference engine for grape expert system is based on fuzzy logic as weather conditions can logically be represented as fuzzy variables. It uses rule base developed by experts.