三针式无患子液流预测相对湿度模型数据

可以用于预测相对湿度,输入温度、大气压亏缺、三针式无患子液流值，输出为相对湿度值。该模型帮助解决了相对湿度和相关环境指标以及无患子液流的关系建模的问题。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相对湿度预测。该模型通过输入温度、大气压亏缺、三针式无患子液流，来输出预测的相对湿度。

This dataset is designed for relative humidity prediction, where the input features include temperature, atmospheric pressure deficit, and three-needle Sapindus sap flow values, and the output is the relative humidity value. This model addresses the challenge of modeling the relationship between relative humidity, associated environmental indicators, and Sapindus sap flow. Collected observational data are applied with traditional algorithms such as multiple linear regression to conduct relative humidity prediction. Specifically, this model takes temperature, atmospheric pressure deficit, and three-needle Sapindus sap flow as inputs to produce predicted relative humidity values.