INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Prediction of poverty as a consequence of climate change impacts using deep learning : A review
Authors Name:
Seeha Khera
, Dr.Raj Kumari
Unique Id:
IJSDR2302103
Published In:
Volume 8 Issue 2, February-2023
Abstract:
With the advancement of Machine Learning and Deep Learning technologies, the field of Computer Science is dealing with the real-world challenges. Climate change is one of the serious problems that the world is facing currently, and climate of India has been negatively affected too. There has been an increase in precipitation, and a rise in the water levels in the rivers and the seas which led to an increase in incidents like floods, hurricanes, and storms. Its effects are not just restricted to one but on many spheres, for instance healthcare, infrastructural change due to varying terrain, natural calamities etc. One of the major challenges, that is poverty, has also been affected due to Climate Change. Since independence the Government of India has been working continuously to reduce poverty as a challenge and threat to the economy. But nowadays it has been observed that the climate change is also impacting poverty in certain ways. These socioeconomic problems are a big challenge, especially for the developing countries. In this paper, we will talk about the impacts of climate change on poverty in the context of India with the help of different emerging technologies that is artificial intelligence and computer vision. We will look for the ways to reduce the cause of poverty so that growth and development does not get hampered due to the environmental issues. Our goal in this review paper is to investigate a relationship between the Poverty and Climate Change impacts. Climate Change impacts here refers to the irregular pattern of rainfall or change in the frequency of floods and increase in carbon dioxide emissions. To find a relationship, we have reviewed several poverty and climate change research papers and analyzed their content. In the end we have gathered the required dataset for both Poverty and Rainfall and tried to study the trend between the two using a Big Data visualisation tool that is Tableau. This will provide us a base for our further research study in prediction of Poverty with Climate Change Impact as a developmental parameter.
Keywords:
Poverty Prediction, Climate Change Impacts, Machine Learning, Deep Learning, Big Data Analysis
Cite Article:
"Prediction of poverty as a consequence of climate change impacts using deep learning : A review", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 2, page no.590 - 596, February-2023, Available :http://www.ijsdr.org/papers/IJSDR2302103.pdf
Downloads:
000336256
Publication Details:
Published Paper ID: IJSDR2302103
Registration ID:204024
Published In: Volume 8 Issue 2, February-2023
DOI (Digital Object Identifier):
Page No: 590 - 596
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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