土壤有效钾预测模型数据

可以用于土壤有效钾预测,输入为土壤样本的光谱901nm吸光度，905nm吸光度，909nm吸光度，913nm吸光度，输出为土壤有效钾预测。该模型帮助解决了土壤有效钾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有效钾。该模型通过输入土壤光谱901nm吸光度、905nm吸光度、909nm吸光度、913nm吸光度数据，来输出预测的土壤有效钾。

This dataset is designed for soil available potassium prediction. It takes the absorbance values of soil sample spectra at 901 nm, 905 nm, 909 nm, and 913 nm as inputs, and outputs the predicted soil available potassium. This model addresses the challenge of modeling the relationship between soil available potassium and soil spectral absorbance. Soil spectral data is collected using a spectrophotometer, and traditional algorithms such as multiple linear regression are applied to the collected data for soil available potassium prediction. Specifically, this model takes the absorbance values at 901 nm, 905 nm, 909 nm, and 913 nm of soil spectra as inputs to generate the predicted soil available potassium.

搜集汇总

数据集介绍

特点

该数据集名为'土壤有效钾预测模型数据'，属于农、林、牧、渔业，数据来源于企业，包含270条记录，每年更新一次。数据集通过输入土壤样本在901nm、905nm、909nm、913nm波长的光谱吸光度数据，使用多元线性回归等算法预测土壤有效钾含量，适用于土壤有效钾预测的应用场景。