Automated prediction of income from farming of a commodity: An ARIMA based framework

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 effects volatility many factors directly or indirectly related farming. prediction farmer’s can be used manage by assisting farmer. This paper proposes ARIMA-based framework forecast a crop for next consecutive years. A detailed analysis proposed work on best suitable ARIMA discussed. It shown obtains higher accuracy predicting future over other alternative methods