龙游县乌猪生长发育性能分析数据

本算法主要是通过对于乌猪养殖过程中重量的监测把控，联动分析最适宜的上市体重日龄，节约生产成本，保证乌猪肉品质，生成重量-品质-日龄-成本-上市时间的深度网络模型。养殖过程中，整合分析培育猪的性别，初生重，保育期等相关数据，通过对比数据波动信息，记录达适宜上市体重日龄，用于评估预测猪生长发育情况，便于针对养殖户及时提供技术支持，确保猪的质量和产量，确保整体品质。为统筹生产销售计划提供数据支持，降低生产成本，提高产量，增加行业利润。1、采用检测仪器，建立指标按需检测体系，构建数据平台，分层分布式系统结构，实现性别，初生重，断奶日龄，保育期末日龄，保育期末重等多维数据的全方位感知传输；2、利用数据收集整理分析技术对采集到的初生重（指标数值1.11±0.11），断奶重（指标数值5.16±0.19），保育期末重（指标数值14.57±0.36），120日龄体重（指标数值34.33±4.08），等数据进行处理和合并，完成数据预处理以提高数据质量并实现多源数据融合，调控分析达适宜上市体重日龄的数据变化，利用人工智能和深度学习在数据挖掘及信息特征提取上的优势，结合对象序列分析方法，构建猪品质深度网络模型；以上算法中提到的数据均在数据结构中体现。3、为乌猪养殖环境提供数据支撑，提高乌猪质量，实现养殖模式可复制。 本算法主要是通过对于乌猪养殖过程中重量的监测把控，联动分析最适宜的上市体重日龄，节约生产成本，保证乌猪肉品质，生成重量-品质-日龄-成本-上市时间的深度网络模型。

This algorithm mainly monitors and controls the weight during the breeding process of black pigs, jointly analyzes the optimal market weight and corresponding age, saves production costs, ensures the meat quality of black pigs, and constructs a deep network model covering weight, quality, age, cost and time-to-market.

During the breeding process, relevant data such as the sex, birth weight and nursery period of the bred pigs are integrated and analyzed. By comparing data fluctuations, the age when the pigs reach the optimal market weight is recorded, which is used to evaluate and predict the growth and development of pigs, so as to provide timely technical support for farmers, ensure the quality and yield of pigs and improve the overall breeding quality. It provides data support for overall production and sales planning, reduces production costs, increases yield and boosts industry profits.

1. Adopt testing instruments to establish an on-demand indicator testing system, build a data platform with a layered distributed system architecture, and realize all-round perception and transmission of multi-dimensional data including sex, birth weight, weaning age, age at the end of the nursery period, and weight at the end of the nursery period;
2. Use data collection, sorting and analysis technologies to process and merge the collected data such as birth weight (indicator value: 1.11±0.11), weaning weight (indicator value: 5.16±0.19), weight at the end of the nursery period (indicator value: 14.57±0.36), and body weight at 120 days of age (indicator value: 34.33±4.08). Complete data preprocessing to improve data quality and realize multi-source data fusion, regulate and analyze the data changes when reaching the optimal market weight and age. Leverage the advantages of artificial intelligence and deep learning in data mining and information feature extraction, combined with object sequence analysis methods, to construct a deep network model for pig quality assessment. All data mentioned in the above algorithm are reflected in the data structure.
3. Provide data support for the breeding environment of black pigs, improve the quality of black pigs, and realize the replicability of the breeding model.

This algorithm mainly monitors and controls the weight during the breeding process of black pigs, jointly analyzes the optimal market weight and corresponding age, saves production costs, ensures the meat quality of black pigs, and constructs a deep network model covering weight, quality, age, cost and time-to-market.

搜集汇总

数据集介绍

特点

该数据集包含676条龙游县乌猪的生长发育性能数据，涵盖性别、初生重、断奶日龄、保育期末重等关键指标，用于分析最适宜的上市体重日龄，优化养殖过程，提高产量和品质。