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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM40686

Chatbot for Plant Disease and Pest Information

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM40686

Volume:

9 |

1 |

Jan 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM40686

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

AJ

Adhira Jaijeeth

SS

Sanayya Saima

AVS

Anvita V Sajeevan

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Abstract

Chatbots are increasingly being adopted to provide instant query resolution in various domains. This paper discusses the design, implementation, and evaluation of a chatbot application built using Flutter, specifically tailored to address agricultural queries. The chatbot employs a predefined question-answer (FAQ) model and state management through the provider package to deliver a lightweight yet robust user experience. This study also explores the challenges, outcomes, and future scope of such applications in the context of scalability, adaptability, and user engagement.

KEYWORDS

optics photonics light lasers templates journals

Cite This Article

Adhira Jaijeeth, Sanayya Saima, Anvita V Sajeevan, "Chatbot for Plant Disease and Pest Information," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 1, Jan 2025. https://doi.org/10.55041/IJSREM40686

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Publication Date

10/31/2025

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Double-Blind Peer Review

Review Rounds: 2

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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