Next Article in Journal
A Police and Insurance Joint Management System Based on High Precision BDS/GPS Positioning
Next Article in Special Issue
Measuring Device for Air Speed in Macroporous Media and Its Application Inside Apple Storage Bins
Previous Article in Journal
A Regression Model for Predicting Shape Deformation after Breast Conserving Surgery
Previous Article in Special Issue
Synergy Effect of Combining Fluorescence and Mid Infrared Fiber Spectroscopy for Kidney Tumor Diagnostics
Article Menu
Issue 1 (January) cover image

Export Article

Open AccessArticle
Sensors 2018, 18(1), 170; https://doi.org/10.3390/s18010170

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

1
Livestock Systems Group, Department of Animal Science, Georg-August University, Albrecht-Thaer Weg 3, 37075 Göttingen, Germany
2
Institute of Animal Breeding and Husbandry, Christian-Albrechts-University, Olshausenstr, 40, 24098 Kiel, Germany
3
MKW Electronics GmbH, Jutogasse 3, 4675 Weibern, Austria
4
Chamber of Agriculture Schleswig-Holstein, 24327 Blekendorf, Germany
*
Author to whom correspondence should be addressed.
Received: 30 November 2017 / Revised: 4 January 2018 / Accepted: 8 January 2018 / Published: 10 January 2018
(This article belongs to the Special Issue State-of-the-Art Sensors Technology in Germany)
View Full-Text   |   Download PDF [4319 KB, uploaded 10 January 2018]   |  

Abstract

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. View Full-Text
Keywords: farrowing; acceleration measurement; CUSUM control chart; management assistance; ear sensor farrowing; acceleration measurement; CUSUM control chart; management assistance; ear sensor
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Traulsen, I.; Scheel, C.; Auer, W.; Burfeind, O.; Krieter, J. Using Acceleration Data to Automatically Detect the Onset of Farrowing in Sows. Sensors 2018, 18, 170.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top