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Abstract
In the field of agriculture systems, the gathering of automated data as well as the development of
technological improvements like intelligent crop cultivation systems and new patterns in DSS and
Agricultural Intelligence have ascended to new applications and techniques for existing decision support
innovations. Today, agriculture needs a versatile system that responds and adjusts to the continually
changing agricultural prices and weather patterns. The internal data processing system of a territory
depends on the atmosphere; that isn't sufficient. We need more precision for better output. To fight this
problem, the Crop Cultivation Decision Support System (CCDSS) was developed. CCDSS is an intelligent
prediction system that predicts alternative crops for the upcoming season; it will predict the suitable crop
as per ideal conditions like the current/ future market prices, water dam levels(Those water dams who
provide water session to the defiend cluster), and weather patterns. The Autoregressive Moving Average
Model (ARMA) and the Autoregressive Integrated Moving Average Model (ARIMA) can be used to
predict the crops for the emerging season .