Using Acceleration Data to Automatically Detect the Onset of Farrowing in Sows

被引:27
作者
Traulsen, Imke [1 ]
Scheel, Christoph [2 ]
Auer, Wolfgang [3 ]
Burfeind, Onno [4 ]
Krieter, Joachim [2 ]
机构
[1] Georg August Univ, Dept Anim Sci, Livestock Syst Grp, Albrecht Thaer Weg 3, D-37075 Gottingen, Germany
[2] Univ Kiel, Inst Anim Breeding & Husb, Olshausenstr 40, D-24098 Kiel, Germany
[3] MKW Elect GmbH, Jutogasse 3, A-4675 Weibern, Austria
[4] Chamber Agr Schleswig Holstein, D-24327 Blekendorf, Germany
来源
SENSORS | 2018年 / 18卷 / 01期
关键词
farrowing; acceleration measurement; CUSUM control chart; management assistance; ear sensor; BEHAVIOR; PREDICTION; SPACE; GILTS;
D O I
10.3390/s18010170
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
The aim of the present study was to automatically predict the onset of farrowing in crate-confined sows. (1) Background: Automatic tools are appropriate to support animal surveillance under practical farming conditions. (2) Methods: In three batches, sows in one farrowing compartment of the Futterkamp research farm were equipped with an ear sensor to sample acceleration. As a reference video, recordings of the sows were used. A classical CUSUM chart using different acceleration indices of various distribution characteristics with several scenarios were compared. (3) Results: The increase of activity mainly due to nest building behavior before the onset of farrowing could be detected with the sow individual CUSUM chart. The best performance required a statistical distribution characteristic that represented fluctuations in the signal (for example, 1st variation) combined with a transformation of this parameter by cumulating differences in the signal within certain time periods from one day to another. With this transformed signal, farrowing sows could reliably be detected. For 100% or 85% of the sows, an alarm was given within 48 or 12 h before the onset of farrowing. (4) Conclusions: Acceleration measurements in the ear of a sow are suitable for detecting the onset of farrowing in individually housed sows in commercial farrowing crates.
引用
收藏
页数:13
相关论文
共 44 条
[31]   Automatically recognizing places of interest from unreliable GPS data using spatio-temporal density estimation and line intersections [J].
Bhattacharya, Tanusri ;
Kulik, Lars ;
Bailey, James .
PERVASIVE AND MOBILE COMPUTING, 2015, 19 :86-107
[32]   Using data mining techniques to predict and detect important features for book borrowing rate in academic libraries [J].
Ochilbek, Rakhmanov .
2019 15TH INTERNATIONAL CONFERENCE ON ELECTRONICS, COMPUTER AND COMPUTATION (ICECCO), 2019,
[33]   Using Sensor Data to Detect Lameness and Mastitis Treatment Events in Dairy Cows: A Comparison of Classification Models [J].
Post, Christian ;
Rietz, Christian ;
Buescher, Wolfgang ;
Mueller, Ute .
SENSORS, 2020, 20 (14) :1-18
[34]   Using remote-sensing data to detect habitat suitability for yellowfin tuna in the Western and Central Pacific Ocean [J].
Yen, Kuo-Wei ;
Lu, Hsueh-Jung ;
Chang, Yi ;
Lee, Ming-An .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2012, 33 (23) :7507-7522
[35]   Machine-Learning Techniques Can Enhance Dairy Cow Estrus Detection Using Location and Acceleration Data [J].
Wang, Jun ;
Bell, Matt ;
Liu, Xiaohang ;
Liu, Gang .
ANIMALS, 2020, 10 (07) :1-17
[36]   Forecasting the onset of cloud-to-ground lightning using radar and upper-air data in Romania [J].
Antonescu, Bogdan ;
Burcea, Sorin ;
Tanase, Adrian .
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2013, 33 (06) :1579-1584
[37]   Using GPS and accelerometer data to remotely detect breeding events in two elusive ground-nesting steppe birds [J].
Ferraz, Goncalo ;
Pacheco, Carlos ;
Fernandez-Tizon, Mario ;
Marques, Ana T. ;
Alves, Paulo C. ;
Silva, Joao P. ;
Mougeot, Francois .
ANIMAL BIOTELEMETRY, 2024, 12 (01)
[38]   Composite encoder-decoder network for rapid bridge damage assessment using long-term monitoring acceleration data [J].
Yessoufou, Fadel ;
Yang, Yibo ;
Zhu, Jinsong .
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2024, 23 (06) :3387-3415
[39]   Stratifying risk for dementia onset using large-scale electronic health record data: A retrospective cohort study [J].
McCoy, Thomas H., Jr. ;
Han, Larry ;
Pellegrini, Amelia M. ;
Tanzi, Rudolph E. ;
Berretta, Sabina ;
Perlis, Roy H. .
ALZHEIMERS & DEMENTIA, 2020, 16 (03) :531-540
[40]   A New Algorithm for Predicting Out-of-step Using Rotor Speed-acceleration Based on Phasor Measurement Units (PMU) Data [J].
Sobbouhi, Ali Reza ;
Aghamohammadi, Mohammad Reza .
ELECTRIC POWER COMPONENTS AND SYSTEMS, 2015, 43 (13) :1478-1486