Development of Artificial Intelligence‐based chatbot for smart aquafarm practices-Reference-Cited by-同舟云学术

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Development of Artificial Intelligence‐based chatbot for smart aquafarm practices

Published:2022-09-09 Issue: Volume: Page:
ISSN:0266-4720
Container-title:Expert Systems
language:en
Short-container-title:Expert Systems

Author:

Jasmin Ayesha¹^ORCID,Ramesh Pradeep¹^ORCID,Tanveer Mohammad¹^ORCID

Affiliation:

1. Department of Aquacultural Engineering, College of Fisheries Engineering Tamil Nadu Dr. J. Jayalalithaa Fisheries University Nagapattinam India

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/exsy.13123

Reference31 articles.

1. Abu Shawar B. A.(2005).A corpus based approach to generalise a chatbot system[Unpublished PhD thesis]. University of Leeds.

2. Integration of IoT and chatbot for aquaculture with natural language processing;Al Rasyid M. U. H.;Telkomnika,2020

3. Arora B. Chaudhary D. S. Satsangi M. Yadav M. Singh L. &Sudhish P. S.(2020).Agribot: A natural language generative neural networks engine for agricultural applications.Proceedings of the international conference on contemporary computing and applications (IC3A) pp.28–33.

4. Why people use chatbots;Brandtzaeg P. B.;International Conference on Internet Science. INSCI 2017. Lecture Notes in Computer Science,2017

5. Prediction of dissolved oxygen in pond culture water based on K-means clustering and gated recurrent unit neural network

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