Artificial Intelligence, Machine Learning and Modelling for Understanding the Oceans and Climate Change

Authors

  • Mudasar Aslam Muhammad Nawaz Shareef (MNS) University of Agriculture Multan, Pakistan
  • Saad Saleem Muhammad Nawaz Shareef (MNS) University of Agriculture Multan, Pakistan
  • Sana Javid Muhammad Nawaz Shareef (MNS) University of Agriculture Multan, Pakistan
  • Zunaira Eman Muhammad Nawaz Shareef (MNS) University of Agriculture Multan, Pakistan
  • Ayesha Alam Muhammad Nawaz Shareef (MNS) University of Agriculture Multan, Pakistan
  • Fiza Zulifqar Muhammad Nawaz Shareef (MNS) University of Agriculture Multan, Pakistan
  • Nadeem Iqbal Kajla MNS-University of Agriculture, Multan, Pakistan

Keywords:

Weather, Biodiversity, Food safety, Marine enviroment

Abstract

The persistent distinction in weather and biodiversity may have an extraordinary impact on essentially a huge range of life in the ocean with extra outcomes on food safety, natural framework businesses in coastline and inland corporations. In any case those influences, sensible statistics and institutions are at this thing lacking to realize and quantify the results of those pesters at the marine environment.

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Published

2020-12-31

How to Cite

Aslam, M. ., Saleem, S. ., Javid, S. ., Eman, Z. ., Alam, A. ., Zulifqar, F. ., & Kajla, N. I. . (2020). Artificial Intelligence, Machine Learning and Modelling for Understanding the Oceans and Climate Change. IRASD Journal of Computer Science and Information Technology, 1(1), 26–32. Retrieved from https://internationalrasd.org/journals/index.php/jcsit/article/view/643

Issue

Vol. 1 No. 1 (2020): December 2020

Section

Articles

License

Copyright (c) 2020 Mudasar Aslam, Saad Saleem, Sana Javid, Zunaira Eman, Ayesha Alam, Fiza Zulifqar, Nadeem Iqbal Kajla

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.