AgroKanti: Location-Aware Decision Support System for Forecasting of Pests and Diseases in Grapes
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Grape is an important crop in Indian agriculture. There are many pests occurring on Grapes which cause huge yield loss to farmers. The grapes development is driven mainly by temperature and many pests have direct relation with temperature. We propose a decision support system named AgroKanti for managing pests on table grapes like powdery mildew and anthracnose. The decision support system is location based i.e. farmer is provided with details of pests considering current weather conditions at farmer’s location. We support farmers with pest details like symptoms and management techniques for pests. We provide our system as an application on mobile phones. The knowledge base of pests is stored as ontology in OWL format. We have also developed a black box for agricultural experts where agricultural experts can generate pest ontology form text descriptions. We have used NLP techniques and AGROVOC library to extract pest details from text descriptions and generate ontology.
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