Please use this identifier to cite or link to this item: http://dspace.aiub.edu:8080/jspui/handle/123456789/1881
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dc.contributor.authorBiswas, Rahul-
dc.contributor.authorGoel, Neeraj-
dc.date.accessioned2023-11-12T18:00:03Z-
dc.date.available2023-11-12T18:00:03Z-
dc.date.issued2023-09-27-
dc.identifier.issn1865-0937-
dc.identifier.urihttp://dspace.aiub.edu:8080/jspui/handle/123456789/1881-
dc.description.abstractAgriculture is known as the economic game changer of India. It is the primary driver of GDP growth because of India’s robust agricultural industry, and proper knowledge about agriculture techniques help increase crop yield. So, answering the different types of crop-related queries is essential. We proposed the intelligent chatbot application in the agriculture domain so that farmers can get the correct information about farming practices. Our system is farmer-friendly and capable enough to instantly answer farm-related queries from the knowledge base, such as plant protection, fertilizer uses, government schemes, and many others. We used the agriculture-related data in question-answer format and implemented the pre-trained model of the Sentence-Transformer approach to answer providing. We also deployed the TF-IDF and Bag-of-Words method but achieved a reasonable accuracy rate for the test data in the sentence transformer pre-trained model. With the help of API services, our system also shows the crop’s latest mandi (market) rate and current weather information. So, the proposed chatbot system will keep the contribution for farmer’s cost savings. Overall, our chatbot system is straightforward and more efficient for the farmer to make better decisions.en_US
dc.description.sponsorshipAuthors acknowledge the grant received from the Department of Science & Technology, Government of India, for the Technology Innovation Hub at the Indian Institute of Technology Ropar in the framework of National Mission on Interdisciplinary Cyber-Physical Systems (NM - ICPS).en_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofseriesCCIS Book Series;180-194-
dc.subjectNLPen_US
dc.subjectSentence Transformer Pre-Trained Modelen_US
dc.subjectTF-IDFen_US
dc.subjectBag of Wordsen_US
dc.subjectPegasus Modelen_US
dc.subjectAPIen_US
dc.titleIntelligent Chatbot Assistant in Agriculture Domainen_US
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