QASAD: QUESTION ANSWERING SYSTEM FOR AGRICULTURAL DOMAIN A SEMANTIC INTERFACE FOR INDIAN FARMERS
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Abstract
Question Answering (QA) is a research area that is extensively investigated in order to deliver an accurate answer to questions posed. Searching for a clear response in the vast ocean of knowledge that is the Internet takes a long time. This is done on the questioner's behalf by the QA system. The semantic web has recently been introduced, and the web is moving towards connected data. This is a web application for farmers that allows for knowledge transformation and can aid growers in making decisions about many elements of crop management in order to increase productivity and profit margins. This application functions as an expert system that provides farmers and students with precise responses to questions about crops, fruits, market rates, weather, and other topics. Also, by reporting the newly inserted query to the administrator, the problem can be resolved. (1) Crop selection based on soil test results and market demand will be the general focus of my research. (2) Real-time weather updates through the internet (3) pesticide selection and dosage based on symptoms and climatic conditions (4) Using artificial intelligence (AI) to compare past data in order to make informed decisions. This program provides users with precise and to-the-point responses to their queries.
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