International Journal of Statistics and Applied Mathematics
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International Journal of Statistics and Applied Mathematics

2020, Vol. 5, Issue 3, Part A

Forecasting of Lahi production through fuzzy time invariant series models


Author(s): Amit Kumar Rana, Sunil Kumar and Jitendra Kumar

Abstract: This paper comparative study of three models and these models are tested for the forecasting of Lahi crop. The data used for present study is of Pantnagar university agricultural farms. The accuracy of the models is examined on the basis of error estimates. The objective of applying the FTS forecasting models is to develop better models for the prediction of small area based crop yield. This study will help farmers and agro based business industry in their future planning and better post harvesting management of their product.

Pages: 37-41 | Views: 20 | Downloads: 6

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How to cite this article:
Amit Kumar Rana, Sunil Kumar and Jitendra Kumar. Forecasting of Lahi production through fuzzy time invariant series models. International Journal of Statistics and Applied Mathematics. 2020; 5(3): 37-41.
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