Dataset - Machine Learning–Driven Process Optimization: A Case Study in a Poultry Farm in Southern Minas Gerais

The dataset used in the article Machine Learning–Driven Process Optimization: A Case Study in a Poultry Farm in Southern Minas Gerais contains production, management, and performance data collected from a commercial poultry farm. The variables included in the dataset are described as follows: Dt_InRepresents the start date of the observation period during which production and management data were recorded. Dt_FimIndicates the end date of the observation period corresponding to the collected data. GalpãoIdentifies the poultry house or shed in which the birds were housed during the observation period. LinhagemRefers to the genetic lineage or strain of the birds, which can influence productivity, mortality, and feed efficiency. LoteDenotes the production batch or flock identifier, grouping birds raised together under the same management and environmental conditions. IdadeIndicates the age of the birds at the time of data recording, typically expressed in weeks. TotAvesRepresents the total number of birds present in the poultry house during the observation period. MortalidadeIndicates the total number of bird deaths recorded over the specified observation period. MortSemRepresents the number of bird deaths recorded on a weekly basis. TotOvosSemIndicates the total number of eggs produced by the flock during a given week. Consumo_Racao_AveRepresents the average feed consumption per bird during the observation period, typically measured in grams or kilograms per bird. In addition to the tabular dataset, the data are also available in ARFF (Attribute-Relation File Format), enabling direct use with the WEKA data mining and machine learning software. This format facilitates reproducibility and allows researchers to readily apply classification, regression, and clustering algorithms without the need for additional data preprocessing.《机器学习驱动的工艺优化：南米纳斯吉拉斯州某家禽养殖场案例研究》一文所使用的数据集，采集自某商业家禽养殖场的生产、管理与绩效数据。该数据集包含的变量说明如下： Dt_In：代表生产与管理数据的记录时段，即观测周期的起始日期。 Dt_Fim：对应所采集数据对应的观测周期的结束日期。 Galpão：用于标识观测周期内家禽饲养所在的禽舍。 Linhagem：指家禽的遗传品系或品种，其会对生产性能、死亡率及饲料利用效率产生显著影响。 Lote：表示生产批次或禽群标识符，用于将在相同管理与环境条件下共同饲养的家禽进行分组归类。 Idade：指数据记录时刻家禽的日龄，通常以周为单位进行计量。 TotAves：代表观测周期内禽舍中的家禽总存栏数量。 Mortalidade：指特定观测周期内记录的家禽总死亡数。 MortSem：表示按周统计的家禽死亡数量。 TotOvosSem：指单一周度内禽群产出的总鸡蛋数量。 Consumo_Racao_Ave：代表观测周期内单只家禽的平均饲料消耗量，通常以克或千克/只为计量单位。 除上述表格格式数据集外，本数据集还提供ARFF（Attribute-Relation File Format）版本，可直接与WEKA数据挖掘与机器学习软件配合使用。该格式便于研究成果复现，且允许研究人员无需额外进行数据预处理，即可直接应用分类、回归与聚类算法。