基于机器学习的牛只胃动量异常识别数据集

本产品是基于植入式牛瘤胃胶囊传感器实时采集并清洗后的牛只胃动量生理数据与机器学习异常识别算法相结合的数据技术产品。通过机器学习算法构建牛只消化道健康动态评估模型。系统通过实时监测瘤胃蠕动强度、频率与节律变化，精准识别消化功能异常个体，实现从“被动治疗”到“主动预警”的养殖模式升级。
产品深度集成于5G智慧育牛监测体系，将原始角速度信号转化为可量化、可追溯、可决策的健康管理数据，全面支撑养殖端降本增效、精准饲喂、疾病早筛、金融保险等多元产业场景，推动畜牧业向数字化、智能化、可持续化高质量发展。

This product is a data technology integration that combines real-time collected and preprocessed bovine gastric motility physiological data (obtained from implantable bovine rumen capsule sensors) with machine learning-based anomaly detection algorithms. It builds a dynamic health assessment model for the bovine digestive tract using machine learning algorithms. The system monitors real-time changes in rumen motility intensity, frequency and rhythm, accurately identifies individuals with abnormal digestive function, thereby upgrading the breeding model from "passive treatment" to "proactive early warning".
This product is deeply integrated into the 5G smart cattle breeding monitoring system, converting raw angular velocity signals into quantifiable, traceable and actionable health management data. It comprehensively supports multiple industrial scenarios including cost reduction and efficiency improvement for breeding farms, precision feeding, early disease screening, financial and insurance services, and promotes the high-quality development of the livestock industry toward digitization, intelligence and sustainability.

搜集汇总

背景与挑战

背景概述

该数据集利用植入式牛瘤胃胶囊传感器采集的胃动量生理数据，结合机器学习算法构建牛只消化道健康动态评估模型，实现瘤胃蠕动异常的实时监测与主动预警。它深度集成于5G智慧育牛监测体系，将原始信号转化为可量化健康管理数据，支撑养殖降本增效、疾病早筛及金融保险等多元产业应用，推动畜牧业向数字化、智能化方向发展。