AIJul 27, 2021

Template-based Chatbot for Agriculture Related FAQs

arXiv:2107.12595v23 citations
AI Analysis

This addresses the need for accessible expert advice for farmers, but it is incremental as it applies existing methods (AIML and LSA) to a new domain-specific dataset.

The paper tackled the problem of insufficient agricultural experts by designing a chatbot to answer frequently asked questions for farmers, using AIML for template-based questions and LSA for service-based questions to provide convenient and efficient assistance.

Agriculture is the fundamental industry of the society, which is the basis of food supply and an important source of employment and GDP increase. However, the insufficient expert can not fulfill the demand of farmers. To address this problem, we design a chatbot to answer frequently asked questions in the Agriculture field. Template-based questions will be answered by AIML while LSA is used for other service-based questions. This chatbot will assist farmers by dealing with industry problems conveniently and efficiently.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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