浙江温度预测模型数据

可以用于预测气温,输入相对湿度、蒸气压亏缺、三针式银杏液流值，输出为气温值。该模型帮助解决了气温和相关环境指标以及银杏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气温预测。该模型通过输入相对湿度、蒸气压亏缺、三针式银杏液流，来输出预测的气温

This dataset is designed for air temperature prediction, taking relative humidity, vapor pressure deficit, and three-needle ginkgo sap flow values as inputs to produce air temperature outputs. This model addresses the challenge of modeling the relationship between air temperature, relevant environmental indicators, and ginkgo sap flow. Collected data is processed via traditional algorithms including multiple linear regression to support air temperature prediction. This model takes relative humidity, vapor pressure deficit, and three-needle ginkgo sap flow values as inputs to output predicted air temperature values.

搜集汇总

数据集介绍

特点

该数据集包含645条记录，用于预测气温，涉及三针式银杏液流、蒸气压亏缺和相对湿度等输入参数，输出为气温值。数据每年更新，适用于农、林、牧、渔业领域的气温预测模型。