基于瘤胃温度特征与XGBoost的牛只饮水状态智能识别数据集

本产品是基于植入式AI瘤胃胶囊采集的高频温度数据与XGBoost智能识别算法相结合的数据技术产品。数据内容涵盖牧场与棚舍信息、牛只耳标号、设备编号，以及连续采集的瘤胃温度、饮水量估算、饮水状态标签、饮水时长和陀螺仪三轴姿态数据等。产品通过热力学瞬态温降特征提取与机器学习分类模型，精准识别牛只饮水行为并输出饮水次数、饮水量及异常饮水模式。产品支持智能环境调控、饲喂策略优化、设备故障预警、消化健康关联分析及全生命周期健康档案构建等应用场景。其核心价值在于将非结构化的生理温度数据转化为可量化的水分代谢管理指标，帮助牧场实现降本增效与精准健康管理，同时为种牛选育和疾病早期筛查提供长期、动态的数据支撑。This product is a data-driven technological solution that combines high-frequency temperature data collected by implantable AI rumen capsules with the XGBoost intelligent recognition algorithm. The collected data covers pasture and barn information, cattle ear tags, device serial numbers, as well as continuously acquired rumen temperature, water intake estimation, drinking status labels, drinking duration, and three-axis gyroscope attitude data, among others. By extracting thermodynamic transient temperature drop features and leveraging machine learning classification models, the product accurately identifies cattle drinking behaviors and outputs drinking frequency, water intake volume, and abnormal drinking patterns. It supports multiple application scenarios including intelligent environmental regulation, feeding strategy optimization, equipment fault early warning, digestive health correlation analysis, and construction of full-life-cycle health records. Its core value lies in converting unstructured physiological temperature data into quantifiable water metabolism management indicators, helping pastures reduce costs, increase efficiency and achieve precise health management, while providing long-term and dynamic data support for breeding cattle selection and early disease screening.

搜集汇总

背景与挑战

背景概述

该数据集基于植入式AI瘤胃胶囊采集的高频瘤胃温度时序数据，通过XGBoost算法进行热力学特征提取与机器学习分类，旨在智能识别牛只的饮水行为，输出饮水次数、饮水量及异常模式。其核心价值在于将非结构化的生理温度数据转化为可量化的水分代谢管理指标，支持牧场精准健康管理、降本增效及种牛选育等应用。