UGC Approved Journal no 63975(19)

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

Volume 7 Issue 4
April-2020
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2004381


Registration ID:
231035

Page Number

1348-1354

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Title

Soil Analysis and Crop Fertility Prediction

Abstract

Agriculture highly depends upon climate, topography, Soil and biology. In which soil plays an important role. In India farming is done traditionally, farmers do farm traditionally without knowing quality and content of the soil. The existing method of soil testing is done by sending the soil sample to laboratories for testing and these testing is time consuming and costly even many time farmers have to travel long distance for soil testing. There are chance of incorrect report due to human error. To overcome this all things, we proposed a system which gives accurate results for soil analysis by taking the pH value and converting it into Nitrogen (N), Phosphorus (P), Potassium (K) values from the soil. We are using Data mining technique which focuses on large data sets to extract information for prediction of crops and we will also provide suitable fertilizers prediction required for the land with predicted fertilizers price.

Key Words

Soil Analysis, pH meter, NPK, Data mining, Fertilizers prediction.

Cite This Article

"Soil Analysis and Crop Fertility Prediction ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 4, page no.1348-1354, April-2020, Available :http://www.jetir.org/papers/JETIR2004381.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

"Soil Analysis and Crop Fertility Prediction ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 4, page no. pp1348-1354, April-2020, Available at : http://www.jetir.org/papers/JETIR2004381.pdf

Publication Details

Published Paper ID: JETIR2004381
Registration ID: 231035
Published In: Volume 7 | Issue 4 | Year April-2020
DOI (Digital Object Identifier):
Page No: 1348-1354
Country: MUMBAI, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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