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  Published Paper Details:

  Paper Title

Cloud amount measurement by using Machine learning technology

  Authors

  Ashutosh S. Katkade,  Ashwini A. Chanakhekar,  Dr. U. K. SHENDE

  Keywords

cloud image, image processing, python, cloud amount, oktas

  Abstract


In this review paper, the significance of cloud amount measurements in meteorology and the objectives of cloud amount measurement projects have been discussed by reviewing different research papers and articles. Cloud amount measurement is crucial in understanding weather patterns and predicting future weather events, and it can also be used to assess the impact of clouds on climate and support renewable energy production, aviation, and transportation. The paper includes a literature survey of the research papers related to cloud cover detection and estimation using various methods such as digital cameras and algorithms based on longwave downward radiation measurements. Overall, cloud amount measurement projects aim to collect and analyse data on cloud cover and other meteorological parameters to improve weather forecasting, support climate research, and enhance various industries and sectors that rely on accurate weather information.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT23A5268

  Paper ID - 238499

  Page Number(s) - k669-k674

  Pubished in - Volume 11 | Issue 5 | May 2023

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Ashutosh S. Katkade,  Ashwini A. Chanakhekar,  Dr. U. K. SHENDE,   "Cloud amount measurement by using Machine learning technology", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 5, pp.k669-k674, May 2023, Available at :http://www.ijcrt.org/papers/IJCRT23A5268.pdf

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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
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