A threshold-based algorithm for the development of inertial sensor-based systems to perform real-time cow step counting in free-stall barns-Reference-Cited by-同舟云学术

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A threshold-based algorithm for the development of inertial sensor-based systems to perform real-time cow step counting in free-stall barns

Published:2017-01 Issue: Volume:153 Page:99-109
ISSN:1537-5110
Container-title:Biosystems Engineering
language:en
Short-container-title:Biosystems Engineering

Author:

Arcidiacono Claudia,Porto Simona M.C.,Mancino Massimo,Cascone Giovanni

Funder

University of Catania (Italy), code of the project B31249,

Publisher

Elsevier BV

Subject

Soil Science,Agronomy and Crop Science,Food Science,Control and Systems Engineering

Reference19 articles.

1. Development and validation of a novel pedometer algorithm to quantify extended characteristics of the locomotor behavior of dairy cows;Alsaaod;Journal of Dairy Science,2015

2. Electronic detection of lameness in dairy cows through measuring pedometric activity and lying behavior;Alsaaod;Applied Animal Behaviour Science,2012

3. Comparison of three devices for the automated detection of estrus in dairy cows;Chanvallon;Theriogenology,2014

4. Introduction to algorithms;Cormen,2001

5. Automation of oestrus detection in dairy cows: A review;Firk;Livestock Production Science,2002

Cited by 25 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Research on Six-Axis Sensor-Based Step-Counting Algorithm for Grazing Sheep;Sensors;2023-06-22

2. Proposal for a Double-Casing Prototype of a Pedometer for Dairy Cows, Made to Be Interchangeable, Through Numerical Investigation and 3D Modeling of Geometry;Lecture Notes in Mechanical Engineering;2023

3. A robust classification system for Southern Yellow cow behavior using 3-DoF accelerometers;Journal of Intelligent & Fuzzy Systems;2022-06-09

4. Kernel density estimation analyses based on a low power GPS for monitoring environmental issues of grazing cattle;Journal of Agricultural Engineering;2022-03-25

5. Kernel density estimation analyses based on a low power-global positioning system for monitoring environmental issues of grazing cattle;J AGRIC ENG-ITALY;2022

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