Machine learning techniques for forecasting agricultural prices: A case of brinjal in Odisha, India.
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Title |
Machine learning techniques for forecasting agricultural prices: A case of brinjal in Odisha, India.
Not Available |
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Creator |
Md. Yeasin
Pramod Kumar Prabhakar Kumar M. Balasubramanian H. S. Roy A. K. Paul Ajit Gupta |
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Subject |
Price forecasting
agricultural commodities Generalized Neural Network |
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Description |
Not Available
Price forecasting of perishable crop like vegetables has importance implications to the farmers, traders as well as consumers. Timely and accurate forecast of the price helps the farmers switch between the alternative nearby markets to sale their produce and getting good prices. The farmers can use the information to make choices around the timing of marketing. For forecasting price of agricultural commodities, several statistical models have been applied in past but those models have their own limitations in terms of assumptions. Not Available |
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Date |
2022-08-02T15:46:08Z
2022-08-02T15:46:08Z 2022-07-06 |
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Type |
Research Paper
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Identifier |
Paul RK, Yeasin M, Kumar P, Kumar P, Balasubramanian M, Roy HS, et al. (2022) Machine learning techniques for forecasting agricultural prices: A case of brinjal in Odisha, India. PLoS ONE 17(7): e0270553. https://doi.org/10.1371/journal.pone.0270553
Not Available http://krishi.icar.gov.in/jspui/handle/123456789/73674 |
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Language |
English
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Relation |
Not Available;
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Publisher |
Not Available
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