土壤全磷含量预测模型数据

可以用于土壤全磷含量预测,输入为土壤样本的光谱400nm吸光度，400.5nm吸光度，401nm吸光度，401.5nm吸光度，输出为土壤全磷含量预测。该模型帮助解决了土壤全磷含量和土壤光谱吸光度关系建模的问题。使用光谱仪器采集土壤光谱数据，将采集的土壤光谱数据使用传统算法，多元线性回归算法等方式以预测土壤全磷含量。该模型通过输入土壤光谱400nm吸光度，400.5nm吸光度，401nm吸光度，401.5nm吸光度数据，来输出预测的土壤全磷含量。

This dataset is designed for soil total phosphorus content prediction. The inputs are the spectral absorbance values of soil samples at 400nm, 400.5nm, 401nm, and 401.5nm, while the output is the predicted soil total phosphorus content. This model addresses the problem of establishing the correlation model between soil total phosphorus content and soil spectral absorbance. Soil spectral data are collected using a spectrometer, and traditional algorithms including multiple linear regression are applied to the collected spectral data to predict soil total phosphorus content. This model takes the absorbance data at 400nm, 400.5nm, 401nm, and 401.5nm of soil spectra as inputs to output the predicted soil total phosphorus content.

搜集汇总

数据集介绍

特点

该数据集名为'土壤全磷含量预测模型数据'，主要用于通过土壤样本的光谱吸光度数据预测全磷含量。数据集包含19037条记录，每年更新一次，应用场景为土壤全磷含量的预测，解决了土壤全磷含量与光谱吸光度关系建模的问题。