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Smart Interactive Farmer-Bot Using Bagging & Natural Language Processing

Uddhav Patil1 , Nikhil Kinikar2 , Madanu Amisha3 , Aishwarya Chouthe4 , Rajeshwari Goudar5

  1. School of Computer Engineering and Technology, MIT Academy of Engineering, Alandi, Pune, Maharashtra, India.
  2. School of Computer Engineering and Technology, MIT Academy of Engineering, Alandi, Pune, Maharashtra, India.
  3. School of Computer Engineering and Technology, MIT Academy of Engineering, Alandi, Pune, Maharashtra, India.
  4. School of Computer Engineering and Technology, MIT Academy of Engineering, Alandi, Pune, Maharashtra, India.
  5. School of Computer Engineering and Technology, MIT Academy of Engineering, Alandi, Pune, Maharashtra, India.

Section:Research Paper, Product Type: Journal Paper
Volume-10 , Issue-12 , Page no. 8-13, Dec-2022

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v10i12.813

Online published on Dec 31, 2022

Copyright © Uddhav Patil, Nikhil Kinikar, Madanu Amisha, Aishwarya Chouthe, Rajeshwari Goudar . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Uddhav Patil, Nikhil Kinikar, Madanu Amisha, Aishwarya Chouthe, Rajeshwari Goudar, “Smart Interactive Farmer-Bot Using Bagging & Natural Language Processing,” International Journal of Computer Sciences and Engineering, Vol.10, Issue.12, pp.8-13, 2022.

MLA Style Citation: Uddhav Patil, Nikhil Kinikar, Madanu Amisha, Aishwarya Chouthe, Rajeshwari Goudar "Smart Interactive Farmer-Bot Using Bagging & Natural Language Processing." International Journal of Computer Sciences and Engineering 10.12 (2022): 8-13.

APA Style Citation: Uddhav Patil, Nikhil Kinikar, Madanu Amisha, Aishwarya Chouthe, Rajeshwari Goudar, (2022). Smart Interactive Farmer-Bot Using Bagging & Natural Language Processing. International Journal of Computer Sciences and Engineering, 10(12), 8-13.

BibTex Style Citation:
@article{Patil_2022,
author = {Uddhav Patil, Nikhil Kinikar, Madanu Amisha, Aishwarya Chouthe, Rajeshwari Goudar},
title = {Smart Interactive Farmer-Bot Using Bagging & Natural Language Processing},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {12 2022},
volume = {10},
Issue = {12},
month = {12},
year = {2022},
issn = {2347-2693},
pages = {8-13},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=5533},
doi = {https://doi.org/10.26438/ijcse/v10i12.813}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v10i12.813}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=5533
TI - Smart Interactive Farmer-Bot Using Bagging & Natural Language Processing
T2 - International Journal of Computer Sciences and Engineering
AU - Uddhav Patil, Nikhil Kinikar, Madanu Amisha, Aishwarya Chouthe, Rajeshwari Goudar
PY - 2022
DA - 2022/12/31
PB - IJCSE, Indore, INDIA
SP - 8-13
IS - 12
VL - 10
SN - 2347-2693
ER -

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Abstract

About 58% of Indians rely on agriculture as their main source of income, and this sector contributes significantly to the nation`s Gross Domestic Product (GDP). As the agricultural process evolves, it is increasingly crucial to disseminate information about it when it becomes available. Improvements in the crop production and weather (rainfall) prediction can be increased with the right data and prediction responses obtained in relation to weather and regions. This can be accomplished with a farmer-chatbot, which is a conversational software that uses pre-programmed responses or artificial intelligence to answer the queries without the intervention of a human. The proposed Farmer-chatbot system, allows farmers to ask questions and receive precise replies in common language. The query is processed using the Ensemble Learning Algorithm and the Natural Language Processing to anticipate solutions to the users.

Key-Words / Index Term

Ensemble Learning, Bagging Method, Natural language processing, Data Cleaning, Prediction.

References

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