UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 7 Issue 3
March-2020
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2003130


Registration ID:
229400

Page Number

873-876

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Title

DISEASE DETECTION AND EXPERT SYSTEM for farmers

Abstract

Abstract — The proposed system helps in identification of multiple plant diseases and provides remedies that can be used as a defense mechanism against the multiple diseases with help of expert system for farmers. Our paper covering the work on multiple plant diseases detection on different plants and fruits, and present an expert system based on important criteria of agriculture. Various options of web portals, mobile applications need to be explored to enhance the effectiveness of the traditional approaches of extensive education on agriculture. Our expert system helps farmers to communicate with Experts in agriculture industry in their own space. In this paper we have also described the development of an application feature that gives users or farmers the capability to identifying the multiple crop leaf diseases based on the photographs of plant leaf with help of application

Key Words

CNN (Convolutional Neural Network), Plant Disease, Deep learning, Test database, Expert system.

Cite This Article

"DISEASE DETECTION AND EXPERT SYSTEM for farmers", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 3, page no.873-876, March-2020, Available :http://www.jetir.org/papers/JETIR2003130.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

"DISEASE DETECTION AND EXPERT SYSTEM for farmers", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 3, page no. pp873-876, March-2020, Available at : http://www.jetir.org/papers/JETIR2003130.pdf

Publication Details

Published Paper ID: JETIR2003130
Registration ID: 229400
Published In: Volume 7 | Issue 3 | Year March-2020
DOI (Digital Object Identifier):
Page No: 873-876
Country: Chandrapur, Maharashtra, India, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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