象山县养殖三文鱼品质评估数据

据来源于象山各三文鱼产地及养殖户基本养殖条件、养殖技术、养殖品种记录，用于评估预测象山在册各三文鱼养殖户产量情况，便于针对产量告警的养殖户及时提供技术支持，确保出产三文鱼的质量和产量1.数据采集：获取养殖场相关设备信息记录、品质检测报告和相关部门检验报告。把这些信息存储后用于计算
2.数据建模：对数据集进行清洗，包括去除异常数据、处理缺失值
3.算法规则：根据品质检测报告获取三文鱼品种外观评估结果J1、品味口味评估结果J2；根据相关部门的检测报告，一个月内违规使用药物的次数Wxn；根据水质pH值是否规范，0表示是，1表示否，获得水质pH值规范Z；根据水域水温是否规范，0表示是，1表示否，获得水域水温规范G；根据是否发生了影响养殖的天气灾害，1表示是，0表示否，获得天气灾害发生情况D；根据三文鱼生长期获得三文鱼生长期T。将收集到的数据通过加权平均发进行计算：Q= (J1+J2) x (1-0.1xWxn-0.2 xZ-0.3 xG-0.5xD)xTx100,通过分数对于品质进行分析预测：高品:80-100分;中品: 60-79分;低品:<60分。

This dataset is sourced from records of basic breeding conditions, breeding techniques and breeding varieties of salmon farms and farmers in Xiangshan. It is utilized to evaluate and predict the production of all registered salmon farmers in Xiangshan, so as to timely provide technical support to farmers with production alerts and ensure the quality and output of the produced salmon.

1. Data Collection: Collect records of relevant equipment information, quality inspection reports and inspection reports from relevant government departments of the farms. The collected information will be stored for subsequent calculation.

2. Data Modeling: Clean the dataset, including removing abnormal data and handling missing values.

3. Algorithm Rules: Obtain the appearance evaluation result J1 and taste and flavor evaluation result J2 of salmon varieties based on the quality inspection reports; obtain the number of times of unauthorized medication use within one month Wxn based on the inspection reports from relevant departments; obtain the water quality pH standard Z, where 0 indicates compliant and 1 indicates non-compliant; obtain the water temperature standard G, where 0 indicates compliant and 1 indicates non-compliant; obtain the weather disaster occurrence D, where 1 indicates occurred and 0 indicates not occurred; obtain the growth period T of salmon. Calculate using the weighted average method: Q = (J1 + J2) × (1 - 0.1×Wxn - 0.2×Z - 0.3×G - 0.5×D) × T × 100. Analyze and predict the product quality based on the score: High-quality: 80-100 points; Medium-quality: 60-79 points; Low-quality: <60 points.