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Modelling and forecasting cotton production using tuned-support vector regression

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Title Modelling and forecasting cotton production using tuned-support vector regression
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Creator Amit Saha
K. N. Singh
Mrinmoy Ray
Santosha Rathod
Sharani Choudhury
 
Subject ARIMA
cotton production forecasting
SVR
time series
tuned-SVR
 
Description Not Available
India is the largest producer of cotton in the world. For proper planning and designing of policies related
to cotton, robust forecast of future production is utmost necessary. In this study, an effort has been made to
model and forecast the cotton production of India using tuned-support vector regression (Tuned-SVR) model,
and the importance of tuning has also been pointed out through this study. The Tuned-SVR performed
better in both modelling and forecasting of cotton production compared to auto regressive integrated moving
average and classical SVR models.
Not Available
 
Date 2022-02-07T08:48:36Z
2022-02-07T08:48:36Z
2021-10-25
 
Type Article
 
Identifier Saha, A., Singh, K. N., Ray, M., Rathod, S. and Choudhury, S. (2021). Modelling and forecasting cotton production using tuned-support vector regression. Current Science, 121(8), 1090-1098.
Not Available
http://krishi.icar.gov.in/jspui/handle/123456789/69608
 
Language English
 
Relation Not Available;
 
Publisher Current Science Association in collaboration with the Indian Academy of Sciences