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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 |
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.
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