Publication

Abstract :

The most popular drink in the world is tea (Camellia Sinensis), which is second only to water in terms of consumption. India, specifically the northeastern part, is one of the top contributors to the growth and supply of tea across the world. To achieve a high yield of good quality tea in the tea gardens controlling various auxiliary parameters are of utmost significance. A model of how crops react to weather is necessary to predict the potential impacts of climate change on crop output. Utilizing different models techniques that have been trained on past yields and some standardized meteorological parameters, such as maximum and minimum temperature, rainfall, mean wind speed, sunshine hour, mean Evaporation etc. In order to achieve above-mentioned goal various parameters from the year 2010 to 2021 has been collected from (Borshilla, Borkatonee, Koombar and Tezpur) and analyzed in this paper using statistical & schematic modeling. It appeared that tea production is dependent strongly on Weather parameters. Tea productions in the four tea growing regions of Assam are significantly influenced by total rainfall, sunshine duration, maximum temperature and minimum temperature. Among the statistical models, Time series Analysis and MLR models produced the best fits for monthly yields, probably indicates that the multivariate time series models may be better suited for expressing the short-term variations and long-term variations in the time series.