光合光子通量密度预测模型数据

可以用于光合光子通量密度预测模型,输入深层土壤含水量、温度、大气压亏缺、温度、地外辐射、风速、浅层土壤含水量、相对湿度、短波入射辐射输出为光合光子通量密度。该模型帮助解决了光合光子通量密度和相关环境指标以及贝壳杉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光合光子通量密度。该模型通过输入深层土壤含水量、温度、大气压亏缺、贝壳杉液流、地外辐射、风速、浅层土壤含水量、相对湿度、短波入射辐射，来输出预测的地外辐射。

This dataset can be used for photosynthetic photon flux density (PPFD) prediction models. It takes deep soil water content, temperature, atmospheric pressure deficit, temperature, extraterrestrial radiation, wind speed, shallow soil water content, relative humidity, and shortwave incident radiation as inputs, and outputs photosynthetic photon flux density.
This model assists in resolving the problem of modeling the relationships between photosynthetic photon flux density, relevant environmental indicators, and kauri sap flow. Collected data is applied with traditional algorithms including multiple linear regression for photosynthetic photon flux density prediction.
This model takes deep soil water content, temperature, atmospheric pressure deficit, kauri sap flow, extraterrestrial radiation, wind speed, shallow soil water content, relative humidity, and shortwave incident radiation as inputs, and outputs the predicted extraterrestrial radiation.