India is a farming nation and its economy is to a great extent dependent on rainforest creation. Downpour estimates are vital and fundamental for all ranchers to examine crop yields. Unsurprising rainfall is the capacity to foresee the climate with the assistance of science and innovation. It is essential to know how much rainfall to utilize water assets, horticultural creation and water arranging proficiently. Various strategies for information mining can foresee rainfall. Information extraction is utilized to appraise rainfall. This article features probably the most well-known rainfall forecast calculations. Guileless Bayes, K-Near Neighbour Algorithm, and Certificate Tree are a portion of the calculations contrasted with this record. According to a relative perspective, it is feasible to break down how rainfall is accurately anticipated.
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17 May 2024
INTERNATIONAL CONFERENCE ON MATHEMATICS AND ITS SCIENTIFIC APPLICATIONS: ICMSA2022
3–4 March 2022
Chennai, India
Research Article|
May 17 2024
Rainfall prediction using machine learning techniques Available to Purchase
S. L. Jany Shabu;
S. L. Jany Shabu
a)
Sathyabama Institute of Science and Technology
, Chennai, India
a)Corresponding author: [email protected]
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J. Refonaa;
J. Refonaa
Sathyabama Institute of Science and Technology
, Chennai, India
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D. Devi;
D. Devi
Sathyabama Institute of Science and Technology
, Chennai, India
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D. Aishwarya;
D. Aishwarya
Sathyabama Institute of Science and Technology
, Chennai, India
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K. Krishna Babu;
K. Krishna Babu
Sathyabama Institute of Science and Technology
, Chennai, India
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K. Purshotham Reddy
K. Purshotham Reddy
Sathyabama Institute of Science and Technology
, Chennai, India
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S. L. Jany Shabu
a)
Sathyabama Institute of Science and Technology
, Chennai, India
J. Refonaa
Sathyabama Institute of Science and Technology
, Chennai, India
D. Devi
Sathyabama Institute of Science and Technology
, Chennai, India
D. Aishwarya
Sathyabama Institute of Science and Technology
, Chennai, India
K. Krishna Babu
Sathyabama Institute of Science and Technology
, Chennai, India
K. Purshotham Reddy
Sathyabama Institute of Science and Technology
, Chennai, India
a)Corresponding author: [email protected]
AIP Conf. Proc. 2850, 030004 (2024)
Citation
S. L. Jany Shabu, J. Refonaa, D. Devi, D. Aishwarya, K. Krishna Babu, K. Purshotham Reddy; Rainfall prediction using machine learning techniques. AIP Conf. Proc. 17 May 2024; 2850 (1): 030004. https://doi.org/10.1063/5.0208435
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