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

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 3 | March 2026

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Published in:

Volume 11 Issue 6
June-2024
eISSN: 2349-5162

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

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Published Paper ID:
JETIRGL06060


Registration ID:
544904

Page Number

359-363

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Title

Krushi Sahyog: Plant disease identification and Crop recommendation using Artificial Intelligence

Abstract

Agriculture plays a crucial role in the economy of the country and is the main source of food and income. Today the population is growing tremendously and with this, the demand for food is also increasing. Therefore, it is now time to introduce advanced farming methods. aims at revolutionizing agriculture through the use of Artificial Intelligence. This system utilizes a Deep Convolutional Neural Network (CNN) model for accurate detection of plant diseases and provides personalized recommendations for crop cultivation. By leveraging advanced technology, Krushi Sahyog empowers farmers to increase their crop productivity and enhance the quality of their harvest. Through smart irrigation, soil and crop health monitoring, image-based insights, and crop disease detection, this system offers a comprehensive solution for boosting crop productivity and ultimately contributing to the economic growth of the country.

Key Words

Krushi Sahyog: Plant disease identification and Crop recommendation using Artificial Intelligence

Cite This Article

"Krushi Sahyog: Plant disease identification and Crop recommendation using Artificial Intelligence", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.359-363, June-2024, Available :http://www.jetir.org/papers/JETIRGL06060.pdf

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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

"Krushi Sahyog: Plant disease identification and Crop recommendation using Artificial Intelligence", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. pp359-363, June-2024, Available at : http://www.jetir.org/papers/JETIRGL06060.pdf

Publication Details

Published Paper ID: JETIRGL06060
Registration ID: 544904
Published In: Volume 11 | Issue 6 | Year June-2024
DOI (Digital Object Identifier):
Page No: 359-363
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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