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

2020, Vol. 5, Issue 2, Part B

Comparative analysis of FTSM for predicting agricultural crop yield


Author(s): Amit Kumar Rana

Abstract: For the agriculture based country like India, crop production is of immense importance. The good production is not enough as post production it requires a lot of planning like storage, management, distribution etc. If farmers and agro business based companies get some approximately advanced information regarding the future production then it will be of great help. In this paper a comparative study is conducted for fuzzy time series models for production forecasting of rice using twenty years data of agriculture farms of GBPUA&T, Pantnagar, India. These models are strictly examined on the basis of errors. The study will provide a base for the small area production forecast.

Pages: 149-152 | Views: 164 | Downloads: 12

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How to cite this article:
Amit Kumar Rana. Comparative analysis of FTSM for predicting agricultural crop yield. Int J Stat Appl Math 2020;5(2):149-152.
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