论文标题
LSTM-RASA的农业农场助理农民
LSTM-RASA Based Agri Farm Assistant for Farmers
论文作者
论文摘要
近年来，深度学习和基于自然语言的聊天机器人的应用正在迅速增长。它们用于许多领域，例如客户支持，预订系统和个人助理。企业正在使用此类聊天机器人以更好，高效的方式为客户服务。即使经过这样的技术进步，专家建议也不会及时到达农民。农民仍然在很大程度上取决于他们的同龄人的知识来解决他们在领域所面临的问题。这些技术尚未有效地将所需信息及时地提供给农民。该项目旨在为农业农民助理领域实施一个封闭的域聊天机器人。农民可以与聊天机器人进行对话，并在其领域获得专家建议。农民助理基于RASA开源框架。聊天机器人可以从用户话语中识别意图和实体，并从数据库中检索补救措施，并与用户共享。我们使用现有数据测试了机器人，并显示出令人鼓舞的结果。
The application of Deep Learning and Natural Language based ChatBots are growing rapidly in recent years. They are used in many fields like customer support, reservation system and as personal assistant. The Enterprises are using such ChatBots to serve their customers in a better and efficient manner. Even after such technological advancement, the expert advice does not reach the farmers on timely manner. The farmers are still largely dependent on their peers knowledge in solving the problems they face in their field. These technologies have not been effectively used to give the required information to farmers on timely manner. This project aims to implement a closed domain ChatBot for the field of Agriculture Farmers Assistant. Farmers can have conversation with the Chatbot and get the expert advice in their field. Farmers Assistant is based on RASA Open Source Framework. The Chatbot identifies the intent and entity from user utterances and retrieve the remedy from the database and share it with the user. We tested the Bot with existing data and it showed promising results.
