三针式热脉冲法银杏液流预测模型数据

可以用于预测银杏液流值,输入温度、大气压亏缺、相对湿度，输出为液流值。该模型帮助解决了银杏液流和相关环境指标的关系建模的问题。将采集的数据使用传统算法，多元线性回归算法等方式以预测用于银杏液流值预测。该模型通过输温度、大气压亏缺、、相对湿度，来输出预测的银杏液流。

This dataset can be used to predict the sap flow values of Ginkgo biloba, taking temperature, atmospheric pressure deficit and relative humidity as inputs and sap flow values as outputs. This model addresses the problem of modeling the relationship between the sap flow of Ginkgo biloba and its related environmental indicators. Collected data are processed via traditional algorithms including multiple linear regression for the prediction of Ginkgo biloba sap flow values. This model outputs the predicted sap flow values of Ginkgo biloba based on the inputs of temperature, atmospheric pressure deficit and relative humidity.

搜集汇总

数据集介绍

特点

该数据集用于预测银杏液流值，包含645条记录，每年更新一次。数据内容包括气温、相对湿度、蒸气压亏缺等输入变量，以及银杏液流值的输出。通过多元线性回归等算法，该模型能够有效预测银杏液流值，适用于农、林、牧、渔业领域。