Pressure measurement in the reticulum to detect different behaviors of healthy cows.

The aim of the current study was to investigate the relation between reticulorumen contractions and monitored cow behaviors. A purpose-built pressure measuring device was used and shown to be capable of detecting the known contraction patterns in the reticulorumen of four rumen-fistulated cows. Reti...

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Autores principales:	Josje Scheurwater, Miel Hostens, Mirjam Nielen, Hans Heesterbeek, Arend Schot, Rob van Hoeij, Hilde Aardema
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/2c1033da135948cab08a61ae3aa94d53
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spelling	oai:doaj.org-article:2c1033da135948cab08a61ae3aa94d532021-12-02T20:06:36ZPressure measurement in the reticulum to detect different behaviors of healthy cows.1932-620310.1371/journal.pone.0254410https://doaj.org/article/2c1033da135948cab08a61ae3aa94d532021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0254410https://doaj.org/toc/1932-6203The aim of the current study was to investigate the relation between reticulorumen contractions and monitored cow behaviors. A purpose-built pressure measuring device was used and shown to be capable of detecting the known contraction patterns in the reticulorumen of four rumen-fistulated cows. Reticular pressure data was used to build a random forest algorithm, a learning algorithm based on a combination of decision trees, to detect rumination and other cow behaviors. In addition, we developed a peak-detection algorithm for rumination based on visual inspection of patterns in reticular pressure. Cow behaviors, differentiated in ruminating, eating, drinking, sleeping and 'other', as scored from video observation, were used to develop and test the algorithms. The results demonstrated that rumination of a cow can be detected by measuring pressure differences in the reticulum using either the random forest algorithm or the peak-detection algorithm. The random forest algorithm showed very robust performances for detecting rumination with an accuracy of 0.98, a sensitivity of 0.95 and a specificity of 0.99. The peak-detection algorithm could detect rumination robustly, with an accuracy of 0.92, a sensitivity of 0.97 and a specificity of 0.90. In addition, we provide proof of principle that a random forest algorithm can also detect eating, drinking and sleeping behavior from the same data with performances above 0.90 for all measures. The measurement device used in this study needed rumen-fistulated cows, but the results indicate that behavior detection using algorithms based on only measurements in the reticulum is feasible. This is promising as it may allow future wireless sensor techniques in the reticulum to continuously monitor a range of important behaviors of cows.Josje ScheurwaterMiel HostensMirjam NielenHans HeesterbeekArend SchotRob van HoeijHilde AardemaPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 7, p e0254410 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Josje Scheurwater Miel Hostens Mirjam Nielen Hans Heesterbeek Arend Schot Rob van Hoeij Hilde Aardema Pressure measurement in the reticulum to detect different behaviors of healthy cows.
description	The aim of the current study was to investigate the relation between reticulorumen contractions and monitored cow behaviors. A purpose-built pressure measuring device was used and shown to be capable of detecting the known contraction patterns in the reticulorumen of four rumen-fistulated cows. Reticular pressure data was used to build a random forest algorithm, a learning algorithm based on a combination of decision trees, to detect rumination and other cow behaviors. In addition, we developed a peak-detection algorithm for rumination based on visual inspection of patterns in reticular pressure. Cow behaviors, differentiated in ruminating, eating, drinking, sleeping and 'other', as scored from video observation, were used to develop and test the algorithms. The results demonstrated that rumination of a cow can be detected by measuring pressure differences in the reticulum using either the random forest algorithm or the peak-detection algorithm. The random forest algorithm showed very robust performances for detecting rumination with an accuracy of 0.98, a sensitivity of 0.95 and a specificity of 0.99. The peak-detection algorithm could detect rumination robustly, with an accuracy of 0.92, a sensitivity of 0.97 and a specificity of 0.90. In addition, we provide proof of principle that a random forest algorithm can also detect eating, drinking and sleeping behavior from the same data with performances above 0.90 for all measures. The measurement device used in this study needed rumen-fistulated cows, but the results indicate that behavior detection using algorithms based on only measurements in the reticulum is feasible. This is promising as it may allow future wireless sensor techniques in the reticulum to continuously monitor a range of important behaviors of cows.
format	article
author	Josje Scheurwater Miel Hostens Mirjam Nielen Hans Heesterbeek Arend Schot Rob van Hoeij Hilde Aardema
author_facet	Josje Scheurwater Miel Hostens Mirjam Nielen Hans Heesterbeek Arend Schot Rob van Hoeij Hilde Aardema
author_sort	Josje Scheurwater
title	Pressure measurement in the reticulum to detect different behaviors of healthy cows.
title_short	Pressure measurement in the reticulum to detect different behaviors of healthy cows.
title_full	Pressure measurement in the reticulum to detect different behaviors of healthy cows.
title_fullStr	Pressure measurement in the reticulum to detect different behaviors of healthy cows.
title_full_unstemmed	Pressure measurement in the reticulum to detect different behaviors of healthy cows.
title_sort	pressure measurement in the reticulum to detect different behaviors of healthy cows.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/2c1033da135948cab08a61ae3aa94d53
work_keys_str_mv	AT josjescheurwater pressuremeasurementinthereticulumtodetectdifferentbehaviorsofhealthycows AT mielhostens pressuremeasurementinthereticulumtodetectdifferentbehaviorsofhealthycows AT mirjamnielen pressuremeasurementinthereticulumtodetectdifferentbehaviorsofhealthycows AT hansheesterbeek pressuremeasurementinthereticulumtodetectdifferentbehaviorsofhealthycows AT arendschot pressuremeasurementinthereticulumtodetectdifferentbehaviorsofhealthycows AT robvanhoeij pressuremeasurementinthereticulumtodetectdifferentbehaviorsofhealthycows AT hildeaardema pressuremeasurementinthereticulumtodetectdifferentbehaviorsofhealthycows
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Pressure measurement in the reticulum to detect different behaviors of healthy cows.

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