Development of Agriculture Chatbot using Machine Learning Techniques
Prashant Y. Niranjan1, Vijay S. Rajpurohit2, Rasika Malgi3
1Prashant Y Niranjan, Department of Computer Science, KLS Gogte Institute of Technology, Belagavi (Karnataka), India.
2Vijay S. Rajpurohit, Department of Computer Science, KLS Gogte Institute of Technology, Belagavi (Karnataka), India.
3Rasika Malgi, Department of Computer Science, KLS Gogte Institute of Technology, Belagavi (Karnataka), India.
Manuscript received on 03 December 2019 | Revised Manuscript received on 11 December 2019 | Manuscript Published on 31 December 2019 | PP: 24-28 | Volume-9 Issue-2S December 2019 | Retrieval Number: B10081292S19/2019©BEIESP | DOI: 10.35940/ijitee.B1008.1292S19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Agriculture data is a main source of country’s economic growth. It is important to provide agriculture related information to all the people who are involved in agriculture activities as and when required. This meaningful information is used by people who supply services to agriculture domain and to take some correct decision related to agriculture to apply for their field. The solutions to this problem are given by the efficient interaction of computer with human. Chatbot system provides ability to extract the exact answer to the queries posed by farmers. The proposed system is called as Agriculture Chatbot system or even it is called as Question-Answering system for agriculture domain, where farmer is asking the agriculture related question which fetches the precise answers for the asked questions by farmers in natural language and processes the query using RNN (Recurrent Neural Network) deep learning algorithm to extract correct answer.
Keywords: Chatbot, Recurrent Neural Network, Deep Learning, Natural Language, Precise Answer.
Scope of the Article: Machine Learning