2018-04-012024-05-14https://scholars.lib.ntu.edu.tw/handle/123456789/660010摘要：近年氣候變遷導致極端氣候頻率增加，以往茶樹生長勢(萌芽期、採收期、產量及品質)判斷法則已無法精準預測，嚴重影響到茶農判斷正常採收期及農事之操作，進而導致茶樹產量及品質下降，因此利用大數據及科學化的方式，建立茶樹基本生長模式極為重要。本計畫預計建立國內栽培面積前二名之茶樹栽培品種之生長預測模式，分別為青心烏龍及臺茶12號，建立氣象資料如溫度、日射量及雨量等因子與茶樹生長之貢獻係數，設置不同海拔高度下茶樹模型參數。<br> Abstract: Due to the increasing frequency of extreme weather, the prediction of harvest time for tea tree based on the tea tree`s growth vigor is not very precisely. This has been seriously affected tea farmers to harvest & management and further impact on tea production and quality. Thus, it is important to use big data analysis to establish the growth model for tea tree. In this proposal, we will use the growth data of two major tea varieties (Chin-Shin-Oolong and Jinxuan) with meteorological data to establish the growth model for tea tree under different attitude.茶作物生長模式多變數統計Teacrop growth modelingmultivariate statistics