高光谱土壤pH预测模型数据

可以用于土壤ph预测,输入为土壤样本的光谱401.366nm吸光度，403.609nm吸光度，405.852nm吸光度，输出为土壤ph预测。该模型帮助解决了土壤ph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ph。该模型通过输入土壤光谱401.366nm吸光度、403.609nm吸光度、405.852nmm吸光度，来输出预测的土壤ph值。

This dataset is designed for soil pH prediction. Its input consists of the absorbance values of soil samples at 401.366 nm, 403.609 nm, and 405.852 nm, while the output is the predicted soil pH. This model addresses the problem of modeling the relationship between soil pH and soil spectral absorbance. Soil spectral data is collected via a spectrometer, and traditional algorithms including multiple linear regression are applied to the collected soil spectral data for soil pH prediction. Specifically, this model takes the absorbance values at the three aforementioned wavelengths of soil spectra as input to generate the predicted soil pH value.

搜集汇总

数据集介绍

特点

该数据集为高光谱土壤pH预测模型数据，包含245条记录，每条记录包括土壤名称、预测pH值和三个特定波长的光谱吸光度数据。数据每年更新，用于通过光谱吸光度预测土壤pH值。