农业水质总磷浓度预测模型数据
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可以用于水质总磷预测,输入溶解氧浊度,电导率,氨氮.pH,重金属,温度,有机碳总量,细菌计数。输出为水质总磷。该模型帮助解决了水质总磷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总磷。该模型通过输入溶解氧浊度,电导率,氨氮.pH,重金属,温度,有机碳总量,细菌计数,来输出预测的水质总磷。
This model is applicable to total phosphorus prediction in water quality. It takes dissolved oxygen, turbidity, conductivity, ammonia nitrogen, pH, heavy metals, temperature, total organic carbon (TOC), and bacterial count as inputs, and outputs the predicted total phosphorus in water quality. This model addresses the problem of modeling the relationships between total phosphorus in water quality, physical and chemical parameters of water quality, and overall water conditions. Water quality data was collected via physical and chemical experiments, thermometers and other relevant instruments, and traditional algorithms including multiple linear regression were applied to the collected data for total phosphorus prediction in water quality. This model outputs the predicted total phosphorus in water quality by inputting dissolved oxygen, turbidity, conductivity, ammonia nitrogen, pH, heavy metals, temperature, total organic carbon (TOC), and bacterial count.
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、知识产权转让等场景。通过区块链技术,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




