Tea crop Yield Prediction using Time Series Models in Kerala

Abstract

Kerala's agricultural sector, of which the tea business is a prominent subset, is an important contributor to the state's economy. In this research, we use time series models to forecast the harvest of Kerala's tea plants. We build a solid framework that combines time series modeling approaches like ARIMA and SARIMA by utilizing past production data, weather patterns, and pertinent socio-economic factors. The results of our study should help tea farmers, policymakers, and other stakeholders make better decisions about crop management, resource allocation, and future market strategy. In order to promote long-term growth and resilience in Kerala's tea business, we plan to implement sophisticated time series analysis to boost the accuracy of yield projections for the state's tea crops.