Research On Mathematical Models Of The Variations Of Tea Plant's Canopy Frame

Tea plant's canopy structure of the composition,the canopy frame indexes's size,shape and structure directly impact on the tea's production and quality. If we can find a way to indicate changes of the frame of different grades tea plants dynamically, and predict the coming year's data also by useing the latest data of the canopy frame,we will be able to prune canopy timely and fertilize reasonablely,so that we achieve the request of high-yield.In this reasearch, by invested the 15 canopy frame indexes gated and analyzed by using dungarunga type Fudingdabai Tea and bush type Zhuyeqi Tea cultured for 1 year at least and 18 years at most, we create the mathematical models of different ages of canopy frame's all indexes. The main work is reasearched as follows:Firstly,we create the first order difference mathematical models of different ages of canopy frame's all indexes. With grey theory of GM (1, 1) modeling and aritifical neural network approach, those difference mathematical models 's parameters were identificated respectively.Secondly, we also create the higher-order difference mathematical models of different ages of canopy frame's all indexes. With multiple linear regression ,we estimate the regression coefficients.Last,as for four indexes of canopy frame of the two types of teas which is closely related to tea's production,such as desity of tea shoots. branches of growing new shoots,weight of one hundred shoots,and length of the shoot of three leaves, we find the dynamical relationship between them and other indexes by way of relational analysis, and establish the dynamic relationship between the two indexes.