Automated prediction of income from farming of a commodity: An ARIMA based framework
DOI:
https://doi.org/10.31181/jdaic10021072023kKeywords:
Income, Prediction, Farmer, ARIMAAbstract
In recent research, it has been found that an enormous amount of the population is involved in agriculture. The farmers are increasingly exposed to income risks from the effects of volatility in many factors directly or indirectly related to farming. The prediction of the farmer’s income can be used to manage the income risks by assisting the farmer. This paper proposes an ARIMA-based framework to forecast the income from a crop for the next consecutive years. A detailed analysis of the proposed work on best suitable ARIMA framework is discussed. It is shown that the proposed work obtains a higher accuracy in predicting the income in future over other alternative methods.
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