'' '' '' '' Medium Range Forecast of Maximum Temperature of Coimbatore using ANN
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2020)
[Effective from January 1, 2020]
For more details click here
ICV 2019: 96.39
Index Copernicus ICI Journals Master List 2019 - IJCMAS--ICV 2019: 96.39
For more details click here
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Original Research Articles                      Volume : 10, Issue:1, January, 2021

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com / submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2021.10(1): 3015-3018
DOI: https://doi.org/10.20546/ijcmas.2021.1001.349


Medium Range Forecast of Maximum Temperature of Coimbatore using ANN
Abinayarajam1*, S. G. Patil1, Ga. Dheebhakaran2 and S. P. Ramanathan2
1Agricultural Statistics, 2Agro Climate Research Centre, Tamil Nadu Agricultural University, Coimbatore, India
*Corresponding author
Abstract:

Climate is the most important dominant factor influencing the plant growth for particular region. Artificial neural network is a nonlinear modelling used for efficient forecast of weather parameter. Daily data on maximum temperature were collected from Agro climatic Research Centre, TNAU over the period of 1991 – 2017.Analysis has been carried out using the R software 3.4.1. Datasets were split into training and test datasets. The training data were used as input. It has been observed that, NNAR model (6,1,5) [365] was predict the maximum temperature with greater accuracy.


Keywords: ANN, NNAR, Maximum temperature, RMSE
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How to cite this article:

Abinayarajam, D., S. G. Patil, Ga. Dheebhakaran and Ramanathan, S. P. 2021. Medium Range Forecast of Maximum Temperature of Coimbatore using ANN.Int.J.Curr.Microbiol.App.Sci. 10(1): 3015-3018. doi: https://doi.org/10.20546/ijcmas.2021.1001.349
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