Nobody would expect an American audience to understand a dance performance that tries to interpret one of China’s most revered, classic and complicated works of literature. They might, however, have been amazed at th...Nobody would expect an American audience to understand a dance performance that tries to interpret one of China’s most revered, classic and complicated works of literature. They might, however, have been amazed at the enthusiastic response of the crowd at the Rose Theater at New York City’s Lincoln展开更多
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 e...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.展开更多
文摘Nobody would expect an American audience to understand a dance performance that tries to interpret one of China’s most revered, classic and complicated works of literature. They might, however, have been amazed at the enthusiastic response of the crowd at the Rose Theater at New York City’s Lincoln
基金the Central Queensland University Animal Ethics Committee(application ID:0000021144).
文摘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.
