象山县养殖生蚝品质评估数据

对象山各生蚝产地及养殖户基本养殖条件、养殖技术、养殖品种等进行数据调研，用于评估预测象山在册各生蚝养殖产量情况，便于针对产量告警的养殖户及时提供技术支持，确保出产生蚝的质量和产量，并针对质量存在问题的养殖户进行提前告警，确保产出生蚝的整体品质。1.数据采集：象山县数据服务中心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生蚝品种外观评估结果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；根据水域水温是否适合生蚝生长，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；根据生蚝生长期获得生蚝生长期T；根据是否进行过养殖结构调整，1表示是，0表示否，获得是否进行过养殖结构调整J3。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),通过分数对于品质进行分析预测：高品:80≤Q≤100;中品: 60≤Q＜80;低品:Q<60。This dataset conducts data research on the basic breeding conditions, breeding technologies, and breeding varieties of oyster-producing areas and oyster farmers in Xiangshan County, aiming to evaluate and predict the breeding yields of all registered oyster farmers in Xiangshan. It is designed to timely provide technical support for farmers with yield alerts, ensure the quality and yield of harvested oysters, and issue early warnings to farmers with quality issues to guarantee the overall quality of the produced oysters. 1. Data Collection: The Data Service Center of Xiangshan County collects relevant equipment information records, quality inspection reports, and inspection reports from relevant departments of the breeding farms. These collected data are 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/flavor evaluation result J2 of oyster varieties based on quality inspection reports; obtain the number of unauthorized drug uses within one month Wxn based on inspection reports from relevant departments; obtain the water quality pH standard Z, where 0 represents compliance and 1 represents non-compliance; obtain the water temperature standard G suitable for oyster breeding, where 0 represents suitable and 1 represents unsuitable; obtain the occurrence of weather disasters affecting breeding D, where 1 represents occurrence and 0 represents non-occurrence; obtain the oyster growth period T based on the actual growth cycle of oysters; obtain whether breeding structure adjustment has been conducted J3, where 1 represents yes and 0 represents no. Calculate the quality score Q using the weighted average method: Q = (J1 + J2) × (1 - 0.1×Wxn - 0.2×Z - 0.3×G). Analyze and predict the oyster quality based on the score: High-quality: 80 ≤ Q ≤ 100; Medium-quality: 60 ≤ Q < 80; Low-quality: Q < 60.

搜集汇总

数据集介绍

特点

该数据集包含1002条记录，每月更新，主要用于评估和预测象山县生蚝养殖的品质和产量。数据包括养殖场编号、生蚝品种外观和口味评估结果、违规使用药物次数、水质和水温评估等字段，通过加权平均算法计算生蚝品质评估结果，分为高品、中品和低品三个等级。