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BeeKnote: Voice Chatbot Assistant for the Beekeepers

Authors:
Sid Ahmed Metidji
Lamine Bougueroua
Jean-Charles Huet
Hakim Mokeddem

Keywords: Vocal assistance; Natural language processing; Natural language understanding; Beekeeping; Smart agriculture.

Abstract:
With the continuous advancement of Artificial Intelligence technologies, chatbots assistants become very popular lately due to their unique characteristics in improving human-computer communication thanks to the Natural Language techniques to process and understand natural human language, and this makes the chatbots assistants show a positive impact in enhancing the user experience for the customers and increasing the business profit for the stakeholders in almost every field, including the beekeeping. In fact, due to the different encountered challenges by the beekeepers on their work, the need for chatbots to assist them was clearly expressed in many surveys. In this paper, firstly, a state of the art is presented about existing solutions as chatbot assistants in the agriculture and beekeeping field before presenting “BeeKnote”. Our chatbot assistant aims to assist the beekeepers in their work by extracting relevant information from the vocal commands. The “BeeKnote” specificity is in their flexible architecture that addresses the limitations of the related work and provides a new approach to assist the beekeepers by offering them a hands-free experience.

Pages: 11 to 17

Copyright: Copyright (c) IARIA, 2023

Publication date: June 26, 2023

Published in: conference

ISSN: 2308-4391

ISBN: 978-1-68558-051-3

Location: Nice, France

Dates: from June 26, 2023 to June 30, 2023