农业水质氨氮含量预测模型数据

可以用于水质氨氮预测,输入溶解氧浊度,电导率,pH.总磷,重金属,温度,有机碳总量,细菌计数。输出为水质氨氮含量。该模型帮助解决了水质氨氮含量和水质理化参数以及水质状况关系建模的问题。使用理化实验以及温度计等采集水体水质等数据,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水质氨氮含量。该模型通过输入溶解氧浊度,电导率,pH.总磷,重金属,温度,有机碳总量,细菌计数,来输出预测的水质氨氮含量。

This dataset is designed for water quality ammonia nitrogen prediction. Its input features consist of dissolved oxygen, turbidity, conductivity, pH, total phosphorus, heavy metals, temperature, total organic carbon, and bacterial count, while the output target is the water ammonia nitrogen concentration. This model solves the problem of modeling the correlation between water ammonia nitrogen concentration, water physicochemical parameters and water quality conditions. Water quality data were collected via physicochemical experiments, thermometers and other relevant testing instruments. The collected data were processed using traditional algorithms including multiple linear regression to predict the water ammonia nitrogen concentration. This model takes the aforementioned input features to generate the predicted water ammonia nitrogen concentration.

搜集汇总

数据集介绍

特点

该数据集由杭州五舟长空科技有限公司提供，包含1001条农业水质数据，用于预测水质氨氮含量。数据包括pH、溶解氧、浊度、电导率等输入参数，输出为氨氮含量，适用于水质氨氮预测模型的构建和验证。