Abstract
Abstract The work presented in this paper is devoted to the area of computer-aided modelling of daily green tea leaf production as a memory type as well as weather dependent state variables with the help of the technique of self-organisation of different layer-wise mathematical descriptions. The composite polynomials obtained with group method of data handling algorithms (GMDH) provide the conceptual framework to understand the complex process of weather-dependent daily green tea leaf production.
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