International Research journal of Management Science and Technology

  ISSN 2250 - 1959 (online) ISSN 2348 - 9367 (Print) New DOI : 10.32804/IRJMST

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AN IMPORTANCE OF MACHINE LEARNING TECHNIQUES IN THE PREDICTION OF RAINFALL – A LITERATURE REVIEW

    1 Author(s):  MRS.S.ROJA

Vol -  13, Issue- 4 ,         Page(s) : 87 - 97  (2022 ) DOI : https://doi.org/10.32804/IRJMST

Abstract

Rainfall is very important for food yield strategy, water resource management and all procedure plans when you look at the nature. The occurrence of prolonged period that is dry heavy rain in the critical stages regarding the crop development and growth can result in greatly minimize crop production. India is an country that is agricultural its economy is essentially based on crop productivity. Thus, rainfall prediction becomes a factor that is significant agricultural countries like India. The forecasting of Rainfall happens to be probably the most technologically and scientifically complicated issues across the world when you look at the century that is last. Therefore, it is essential to have an model that is accurate rainfall prediction.

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[2] Gope, Sulagna, et al. "Early prediction of extreme rainfall events: a deep learning approach." Industrial Conference on Data Mining. Springer, Cham, 2016.
[3] Meyer, Hanna, et al. "Comparison of four machine learning algorithms for their applicability in satellite-based optical rainfall retrievals." Atmospheric research 169 (2016): 424-433.

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