UGC Approved Journal no 63975

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

Volume 6 Issue 2
February-2019
eISSN: 2349-5162

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

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Published Paper ID:
JETIRAE06106


Registration ID:
198752

Page Number

453-455

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Title

Disease Prediction As Per Weather Condition And Market Analysis

Abstract

Data mining and Machine Learning is an emerging field of research in Information Technology as well as in agriculture. Agrarian sector is facing rigorous problem to maximize the crop productivity. The present study focuses on the applications of data mining techniques in crop disease prediction in the face of climatic change to help the farmer in taking decision for farming and achieving the expected economic return. The Crop disease prediction is a major problem that can be solved based on available data. Data mining techniques are the better choices for this purpose. Different Data Mining techniques are used and evaluated in agriculture for estimating the future year’s crop production. The main purpose of the system is for social use. Farmer has to face many problem's like Lack of knowledge, Manures, fertilizers and Agriculture marketing etc. Present technique SAR Tomography takes the images and provides the different development stages of crop. This system not give the fertilizers and precautions to the farmer . This paper gives brief analysis of crop disease prediction using k Nearest Neighbor classification technique and Density based clustering technique for the selected region. The patterns of crop production in response to the climatic (rainfall, temperature, relative humidity and sunshine) effect across the selected regions are being developed using k Nearest Neighbor technique. Thus it will be beneficial if farmers could use the technique to predict the future crop productivity and consequently adopt alternative adaptive measures to maximize yield if the predictions fall below expectations and commercial viability.

Key Words

Data mining, Machine Learning, Classification, Clustering.

Cite This Article

"Disease Prediction As Per Weather Condition And Market Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.453-455, February-2019, Available :http://www.jetir.org/papers/JETIRAE06106.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 Prediction As Per Weather Condition And Market Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp453-455, February-2019, Available at : http://www.jetir.org/papers/JETIRAE06106.pdf

Publication Details

Published Paper ID: JETIRAE06106
Registration ID: 198752
Published In: Volume 6 | Issue 2 | Year February-2019
DOI (Digital Object Identifier):
Page No: 453-455
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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