农业水质温度预测模型数据

可以用于水质温度预测,输入溶解氧浊度,电导率,氨氮.总磷,重金属,pH,有机碳总量,细菌计数。输出为水质温度。该模型帮助解决了水质温度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温度。该模型通过输入溶解氧浊度,电导率,氨氮.总磷,重金属,pH,有机碳总量,细菌计数,来输出预测的水质温度。

This dataset is designed for water temperature prediction. Its input features include dissolved oxygen, turbidity, electrical conductivity, ammonia nitrogen, total phosphorus, heavy metals, pH, total organic carbon, and bacterial count, with the target output being water temperature. This model addresses the problem of modeling the relationships among water temperature, water physico-chemical parameters and water quality status. Water quality data were collected through physico-chemical experiments and temperature measuring instruments such as thermometers, and traditional algorithms including multiple linear regression were employed to predict water temperature based on the collected data. By inputting the aforementioned input features, this model can output the predicted water temperature.

原始信息汇总

数据集概述

数据集名称

浙江省数据知识产权登记平台

数据集描述

浙江省数据知识产权登记平台是由浙江知识产权研究与服务中心推出的区块链数据知识产权登记系统。该平台支持数据知识产权登记、知识产权证书申请、原创作品登记确权、维权服务申请、维权证据出具、知识产权转让等多种场景，从登记、确权、维权、交易等多维度为创作者的知识产权提供保护。

关键词

区块链、知识产权、数据存证、知识产权存证、知识产权研究与服务中心、数据知识产权登记、浙江省数据知识产权登记平台

搜集汇总

数据集介绍

特点

该数据集为农业水质温度预测模型数据，包含1001条记录，每年更新一次。数据集通过输入pH、溶解氧、浊度等参数，输出水质温度，适用于水质温度预测及相关研究。