UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 9 | September 2025

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 10 Issue 5
May-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2305361


Registration ID:
515096

Page Number

d443-d447

Share This Article


Jetir RMS

Title

Artificial Intelligence Chatbot for Fertilizer Information

Abstract

This AI chatbot is designed to provide information about fertilizers. It utilizes natural language processing (NLP) algorithms to understand user queries and provide accurate and relevant responses. The chatbot can assist users with questions related to different types of fertilizers, their composition, application methods, and benefits. With its ability to learn and adapt over time, the chatbot can continually improve its responses to provide better service to users. This chatbot aims to make the process of finding information about fertilizers easier and more accessible for users. Chatbot gives the response for the user query and sometimes they are capable of executing tasks also. Early development of chatbot became so difficult whereas recent chatbots development is much easier because of the wide availability of development platforms and source code. A chatbot can be developed using either Natural Language Processing (NLP) or Deep Learning. This paper also makes a discussion about the metrics for accessing the performance of boots. This helps in designing more effective bots. The chatbot is powered by advanced machine learning algorithms that enable it to understand and respond to user queries in a natural and intuitive manner. It uses a combination of supervised and unsupervised learning techniques to analyze user input and generate appropriate responses. To provide accurate information about fertilizers, the chatbot is equipped with a database of information on various types of fertilizers, including their composition, application methods, and benefits. This database is continually updated to ensure that the chatbot has access to the latest information and can provide the most up-to-date responses to user queries.

Key Words

Chatbot , Natural Language Processing(NLP), Deep Learning, Fertilizer, Artificial Intelligence

Cite This Article

"Artificial Intelligence Chatbot for Fertilizer Information", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.d443-d447, May-2023, Available :http://www.jetir.org/papers/JETIR2305361.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Artificial Intelligence Chatbot for Fertilizer Information", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppd443-d447, May-2023, Available at : http://www.jetir.org/papers/JETIR2305361.pdf

Publication Details

Published Paper ID: JETIR2305361
Registration ID: 515096
Published In: Volume 10 | Issue 5 | Year May-2023
DOI (Digital Object Identifier):
Page No: d443-d447
Country: Chamarajanagar, Karnataka, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

000229

Print This Page

Current Call For Paper

Jetir RMS