Literature DB >> 25172929

Detection of jumping and landing force in laying hens using wireless wearable sensors.

D Banerjee1, C L Daigle2, B Dong3, K Wurtz2, R C Newberry4, J M Siegford2, S Biswas3.   

Abstract

Increased mobility of hens in noncaged housing presents possibilities for bone breakage due to crash landings from jumps or flights between perches or housing infrastructure. Because bone breakage is a welfare and economic concern, understanding how movement from different heights affects hen landing impact is important. By tracking 3-dimensional bird movement, an automated sensor technology could facilitate understanding regarding the interaction between noncage laying hens and their housing. A method for detecting jumps and flight trajectories could help explain how jumps from different heights affect hen landing impact. In this study, a wearable sensor-based jump detection mechanism for egg-laying hens was designed and implemented. Hens were fitted with a lightweight (10 g) wireless body-mounted sensor to remotely sample accelerometer data. Postprocessed data could detect occurrence of jumps from a perch to the ground, time of jump initiation, time of landing, and force of landing. Additionally, the developed technology could estimate the approximate height of the jump. Hens jumping from heights of 41 and 61 cm were found to land with an average force of 81.0 ± 2.7 N and 106.9 ± 2.6 N, respectively, assuming zero initial velocity (P < 0.001). This paper establishes the technological feasibility of using body-mounted sensor technology for jump detection by hens in different noncage housing configurations. ©2014 Poultry Science Association Inc.

Entities:  

Keywords:  jump detection; keel bone breakage; laying hen; poultry welfare; wearable sensor network

Mesh:

Year:  2014        PMID: 25172929     DOI: 10.3382/ps.2014-04006

Source DB:  PubMed          Journal:  Poult Sci        ISSN: 0032-5791            Impact factor:   3.352


  8 in total

Review 1.  Industry 4.0 and Precision Livestock Farming (PLF): An up to Date Overview across Animal Productions.

Authors:  Sarah Morrone; Corrado Dimauro; Filippo Gambella; Maria Grazia Cappai
Journal:  Sensors (Basel)       Date:  2022-06-07       Impact factor: 3.847

2.  Preliminary evaluation of a nest usage sensor to detect double nest occupations of laying hens.

Authors:  Mauro Zaninelli; Annamaria Costa; Francesco Maria Tangorra; Luciana Rossi; Alessandro Agazzi; Giovanni Savoini
Journal:  Sensors (Basel)       Date:  2015-01-26       Impact factor: 3.576

Review 3.  Technology and Poultry Welfare.

Authors:  Neila Ben Sassi; Xavier Averós; Inma Estevez
Journal:  Animals (Basel)       Date:  2016-10-11       Impact factor: 2.752

4.  Development of a Machine Vision Method for the Monitoring of Laying Hens and Detection of Multiple Nest Occupations.

Authors:  Mauro Zaninelli; Veronica Redaelli; Fabio Luzi; Malcolm Mitchell; Valentino Bontempo; Donata Cattaneo; Vittorio Dell'Orto; Giovanni Savoini
Journal:  Sensors (Basel)       Date:  2018-01-05       Impact factor: 3.576

5.  A Monitoring System for Laying Hens That Uses a Detection Sensor Based on Infrared Technology and Image Pattern Recognition.

Authors:  Mauro Zaninelli; Veronica Redaelli; Fabio Luzi; Valentino Bontempo; Vittorio Dell'Orto; Giovanni Savoini
Journal:  Sensors (Basel)       Date:  2017-05-24       Impact factor: 3.576

6.  First Results of a Detection Sensor for the Monitoring of Laying Hens Reared in a Commercial Organic Egg Production Farm Based on the Use of Infrared Technology.

Authors:  Mauro Zaninelli; Veronica Redaelli; Erica Tirloni; Cristian Bernardi; Vittorio Dell'Orto; Giovanni Savoini
Journal:  Sensors (Basel)       Date:  2016-10-21       Impact factor: 3.576

7.  Growth Dependent Changes in Pressure Sensing Walkway Data for Turkeys.

Authors:  Jody A Kremer; Cara I Robison; Darrin M Karcher
Journal:  Front Vet Sci       Date:  2018-10-09

8.  Later exposure to perches and nests reduces individual hens' occupancy of vertical space in an aviary and increases force of falls at night.

Authors:  B A Ali; M Toscano; J M Siegford
Journal:  Poult Sci       Date:  2019-12-01       Impact factor: 3.352

  8 in total

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