A multi-sensor appiproach to calving detection  

作　　者：Anita Z.Chang David L.Swain Mark G.Trotter 

机构地区：[1]Institute for Future Farming Systems,School of Health,Medical,and Applied Sciences,Central Queensland University,Rockhampton,Queensland 4700,Australia

出　　处：《Information Processing in Agriculture》2024年第1期45-64,共20页农业信息处理（英文）

基　　金：the Central Queensland University Animal Ethics Committee(application ID:0000021144).

摘　　要：The advent of remote livestock monitoring systems provides numerous possibilities for improving on-farm productivity,efficiency,and welfare.One potential application for these systems is for the detection of calving events.This study describes the integration of data from multiple sensor sources,including accelerometers,global navigation satellite systems(GNsS),an accelerometer-derived rumination algorithm,a walk-over-weigh unit,and a weather station for parturition detection using a support vector machine approach.The best performing model utilised data from GNsS,the ruminating algorithm,and weather stations to achieve 98.6%accuracy,with 88.5%sensitivity and 100%specificity.The topranking features of this model were primarily GNSS derived.This study provides an overview as to how various sensor systems could be integrated on-farm to maximise calving detection for improved production and welfare outcomes.

关 键 词：ACCELEROMETER GNSS GPS RUMINATION Sensor WOW 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]