日期 影响因子
日期:
2020 年 — 2026 年
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影响因子:
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Automated detection of lameness in sheep using machine learning approaches: novel insights into behavioural differences among lame and non-lame sheep.

利用机器学习方法自动检测绵羊跛行：对跛行绵羊和非跛行绵羊行为差异的新见解

期刊:Royal Society Open Science
影响因子:2.9
doi:10.1098/rsos.190824
Kaler Jasmeet, Mitsch Jurgen, Vázquez-Diosdado Jorge A, Bollard Nicola, Dottorini Tania, Ellis Keith A
Sheep
发表日期：2020
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A Combined Offline and Online Algorithm for Real-Time and Long-Term Classification of Sheep Behaviour: Novel Approach for Precision Livestock Farming

一种结合离线和在线技术的绵羊行为实时长期分类算法：精准畜牧业的新方法

期刊:Sensors
影响因子:3.5
doi:10.3390/s19143201
Vázquez-Diosdado, Jorge A; Paul, Veronica; Ellis, Keith A; Coates, David; Loomba, Radhika; Kaler, Jasmeet
Sheep
发表日期：2019
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Evaluation of sampling frequency, window size and sensor position for classification of sheep behaviour.

评估采样频率、窗口大小和传感器位置对绵羊行为分类的影响

期刊:Royal Society Open Science
影响因子:2.9
doi:10.1098/rsos.171442
Walton Emily, Casey Christy, Mitsch Jurgen, Vázquez-Diosdado Jorge A, Yan Juan, Dottorini Tania, Ellis Keith A, Winterlich Anthony, Kaler Jasmeet
Sheep
发表日期：2018
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