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Forecasting of Lahi production through fuzzy time invariant series models
International Journal of Statistics and Applied Mathematics · 2020 · Vol. 5(3) · pp. 37–41
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.
Stock Market Forecasting MethodsForecasting Techniques and ApplicationsAgricultural Economics and PracticesTime seriesAgricultureProduction (economics)Fuzzy logicEconometricsYield (engineering)Agricultural engineeringProduct (mathematics)MathematicsOperations research
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References
Application of Fuzzy Logic to Approximate Reasoning Using Linguistic Synthesis
IEEE Transactions on Computers · 1977 · 2,125 citations
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