What question did this study set out to answer?

The aim is to identify the best model for forecasting cotton prices and validate it with actual market data.

May 9, 2026Open Access

Market intelligence for cotton in Tamil Nadu

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Randomized trial finds effective price forecasting for cotton in Tamil Nadu, highlighting market trends.

The aim is to identify the best model for forecasting cotton prices and validate it with actual market data.
Time series data was collected from Konganapuram market from 2009 to 2023.
ARIMA (1, 0, 0) model was utilized for price forecasting.
Forecasting covered future prices from 2019 to 2023.
Forecast prices indicate a peak of Rs. 8,000 - 8,500 per quintal in August-October 2022.
Lowest prices recorded were Rs. 4,200 - 4,400 per quintal in July-August 2021.
Forecast validation showed approximately 94-100 percent accuracy.

Ammaan et al. (2023) studied this question.

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May 9, 2026Open Access

View Full Paper

Ask AI

Bookmark

Authors

Randomized trial finds effective price forecasting for cotton in Tamil Nadu, highlighting market trends.

The aim is to identify the best model for forecasting cotton prices and validate it with actual market data.
Time series data was collected from Konganapuram market from 2009 to 2023.
ARIMA (1, 0, 0) model was utilized for price forecasting.
Forecasting covered future prices from 2019 to 2023.
Forecast prices indicate a peak of Rs. 8,000 - 8,500 per quintal in August-October 2022.
Lowest prices recorded were Rs. 4,200 - 4,400 per quintal in July-August 2021.
Forecast validation showed approximately 94-100 percent accuracy.

Ammaan et al. (2023) studied this question.

View Full Paper

Ask AI

Bookmark