UGC Approved Journal no 63975

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

Volume 9 Issue 4
April-2022
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2204709


Registration ID:
401246

Page Number

h76-h80

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Title

Natural Resources Scarcity Forecasting

Abstract

Natural Resource Prediction of the main constituent of living organisms, is crucial for economic and agricultural development particularly in arid areas where surface water resource is extremely scarce. Analysis and assessment of resources to collecting information often involve meteorological and hydrological components such as precipitation, flow, temperature etc. We are filtering this set of for analysis on different natural resources and estimate its availability in future and forecast its scarcity using Machine Learning. A statistical study of these natural resources is new and can make a significant contribution to the theory and practice of the efficient use of natural resources. The project plays an important role in formation of new business technologies for enterprises operating in the natural resources sector. The identification of extraction trends for natural resources can positively affect the rational use of natural resources on the regional level.

Key Words

Deep Learning, Machine Learning, Prediction, Forecasting

Cite This Article

"Natural Resources Scarcity Forecasting ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.h76-h80, April-2022, Available :http://www.jetir.org/papers/JETIR2204709.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

"Natural Resources Scarcity Forecasting ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. pph76-h80, April-2022, Available at : http://www.jetir.org/papers/JETIR2204709.pdf

Publication Details

Published Paper ID: JETIR2204709
Registration ID: 401246
Published In: Volume 9 | Issue 4 | Year April-2022
DOI (Digital Object Identifier):
Page No: h76-h80
Country: mumbai, maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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