Abstract
We proposed a new method to average time serieses, and analyse growth index of the first tea crop (rate of banjhi shoot, bud weight, bud length, leaf number). Traditional averaging, which is adopted in annual crop report, is a simple successive averaging of numbers of data at the same calendar day. A new method proposed here is done as follows. Data of an index of each year was fitted to a logistic curve. Time value of all the inflections of an index were averaged, and phase of all curve was shifted to the averaged inflection value. Function value from daily calculation of each curves was fitted again to a logistic curve with weighing by data number. We can use the resulted curves for prediction of growth and estimation of a growth index from another.
