Identification of Groundwater Potential Zones Using Machine Learning Algorithms and Geospatial Techniques-Reference-Cited by-同舟云学术

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Identification of Groundwater Potential Zones Using Machine Learning Algorithms and Geospatial Techniques

Published:2023-12-21 Issue: Volume:7 Page:1-8
ISSN:
Container-title:2023 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI)
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Author:

Nagamani K¹,Meer Mohammad Suhail¹,Anuradhha Baskaran²,Bhuvaneswari C³,Packialakshmi S.⁴

Affiliation:

1. Centre for Remote sensing and Geoinformatics Sathyabama institute of Science and Technology,Chennai,Tamil Nadu,600119

2. CIT,Department of Civil Engineering,Chennai,Tamil Nadu,600-119

3. Sathyabama Institute of Science & Technology,EEE Deparment,Chennai,Tamil Nadu,600119

4. Sathyabama Institute of Science & Technology,Department of Civil Engineering,Chennai,Tamil Nadu,600-119

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10452407/10452427/10452632.pdf?arnumber=10452632

Reference15 articles.

1. Assessment of Groundwater Potential in a Semi-Arid Region of India Using Remote Sensing, GIS and MCDM Techniques

2. GROUNDWATER QUALITY ASSESSMENT BY WQI AND GIS TOOLS IN THE VILLAGES OF BUKKAPATNAM MANDAL, ANANTAPUR DISTRICT, ANDHRA PRADESH (INDIA)

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