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Prediction of Groundwater Level In District Level By Implementing Machine Learning And Advanced Softcomputing Techniques

Mooramreddy Sree Devi1 , Vempalli Rahamathulla2

Section:Survey Paper, Product Type: Journal Paper
Volume-07 , Issue-06 , Page no. 122-124, Mar-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7si6.122124

Online published on Mar 20, 2019

Copyright © Mooramreddy Sree Devi, Vempalli Rahamathulla . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Mooramreddy Sree Devi, Vempalli Rahamathulla, “Prediction of Groundwater Level In District Level By Implementing Machine Learning And Advanced Softcomputing Techniques,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.06, pp.122-124, 2019.

MLA Style Citation: Mooramreddy Sree Devi, Vempalli Rahamathulla "Prediction of Groundwater Level In District Level By Implementing Machine Learning And Advanced Softcomputing Techniques." International Journal of Computer Sciences and Engineering 07.06 (2019): 122-124.

APA Style Citation: Mooramreddy Sree Devi, Vempalli Rahamathulla, (2019). Prediction of Groundwater Level In District Level By Implementing Machine Learning And Advanced Softcomputing Techniques. International Journal of Computer Sciences and Engineering, 07(06), 122-124.

BibTex Style Citation:
@article{Devi_2019,
author = {Mooramreddy Sree Devi, Vempalli Rahamathulla},
title = {Prediction of Groundwater Level In District Level By Implementing Machine Learning And Advanced Softcomputing Techniques},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2019},
volume = {07},
Issue = {06},
month = {3},
year = {2019},
issn = {2347-2693},
pages = {122-124},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=881},
doi = {https://doi.org/10.26438/ijcse/v7i6.122124}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i6.122124}
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=881
TI - Prediction of Groundwater Level In District Level By Implementing Machine Learning And Advanced Softcomputing Techniques
T2 - International Journal of Computer Sciences and Engineering
AU - Mooramreddy Sree Devi, Vempalli Rahamathulla
PY - 2019
DA - 2019/03/20
PB - IJCSE, Indore, INDIA
SP - 122-124
IS - 06
VL - 07
SN - 2347-2693
ER -

           

Abstract

Groundwater plays a major role in human life. Now-a-days, the Groundwater levels are gradually decreasing due to pollution and over usage of water and lack of rains. The air pollution caused by industries and human wastage reducess the Groundwater. The increased Groundwater threat is a threat to human life. There is no proper planning and infrastructure to preserve the Groundwater. The bore wells and tube wells pump the Groundwater from a very deep source. Over usage of sand also causes the decrement of Groundwater level. Now-a-days, due to the the scarcity of Groundwater, the farmer is unable to decide the kind crop to be grown in his/her land. This is a complex task. The food bowl of India is day by day becoming weak due to a the scarcity of Groundwater. “Atmospherical science is the best source of study for analyzing and predicting the weather phenomenon and suggests ways and means overcome the problem”[1].

Key-Words / Index Term

Rainfall, Geographical Parameters,an aquifer

References

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