Forecasting of Tomato Price in Karnataka using BATS Model

Tomato plays a vital role in Karnataka’s agro-processing and food industries, contributing significantly to the state’s economy. Even though tomato production in Karnataka is substantial, the state’s market is characterized by price volatility. Tomato prices can undergo drastic fluctuations within short time periods, posing severe challenges to the farmers and consumers. To address these problems, time series models, such as Exponential Smoothing, ARIMA, SARIMA, BATS and TBATS have been implemented to forecast the tomato prices in Kolar market of Karnataka state using monthly wholesale prices data from the year 2010 to 2022. Among the applied models, BATS showed superior performance in terms of model validation criteria such as Root Mean Square Error and Mean Absolute Percentage Error.

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Publication Details

Journal
Journal of the Indian Society of Agricultural Statistics
Published
2024-09-10
DOI
https://doi.org/10.56093/jisas.v78i2.4
Primary Topic
Agricultural Economics and Practices
Type
article
Field-Weighted Citation Impact
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article

Forecasting of Tomato Price in Karnataka using BATS Model

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Journal of the Indian Society of Agricultural Statistics
Agricultural Economics and Practices
article

Forecasting of Tomato Price in Karnataka using BATS Model

Pradip Basak, Sankalpa Ojha, Arunava Ghosh, Vinay H.T, Chowa Ram Sahu
article en

Abstract

Tomato plays a vital role in Karnataka’s agro-processing and food industries, contributing significantly to the state’s economy. Even though tomato production in Karnataka is substantial, the state’s market is characterized by price volatility. Tomato prices can undergo drastic fluctuations within short time periods, posing severe challenges to the farmers and consumers. To address these problems, time series models, such as Exponential Smoothing, ARIMA, SARIMA, BATS and TBATS have been implemented to forecast the tomato prices in Kolar market of Karnataka state using monthly wholesale prices data from the year 2010 to 2022. Among the applied models, BATS showed superior performance in terms of model validation criteria such as Root Mean Square Error and Mean Absolute Percentage Error.

Journal of the Indian Society of Agricultural StatisticsVol. 78(2)
Zero hunger
Openalex Percentile: Top 73%
Agricultural Economics and Practices
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