Accelerometer systems as tools for health and welfare assessment in cattle and pigs – A review

Chapa, J.M.; Maschat, Kristina; Iwersen, M.; Baumgartner, Johannes; Drillich, M.

doi:10.1016/j.beproc.2020.104262

Cited by 63 publications

(27 citation statements)

References 141 publications

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“…Wang et al (2018) demonstrated that combining these 2 technologies improved the classification of feeding behavior by 20%. Furthermore, combining location with accelerometer data may improve the automated assessment of health and welfare (Chapa et al, 2020). In a study by Barker et al (2018), positioning of the cow and activity from acceleration data were combined to classify feeding behavior with an overall accuracy of 83%.…”

mentioning

confidence: 99%

Use of a real-time location system to detect cows in distinct functional areas within a barn

Chapa

Lidauer²,

Steininger³

et al. 2021

JDS Communications

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Cow location and time spent in relevant areas of the barn are important parameters that can be indicative of health and welfare status. Real-time location systems (RTLS) have the potential to measure these parameters on an individual level. We evaluated the ability of the Smartbow (Smartbow GmbH) RTLS to locate and measure the time cows spent in relevant areas of the barn. This work demonstrated that RTLS are capable of identifying individual cows in important areas of the barn and consequently are able to measure time budgets of cows. Highlights• The RTLS achieved high accuracy in locating cows in alleys, feed bunk and cubicles.• Location and time spent in important barn areas can be automatically determined and used as indicators of health. • The potential of combining RTLS with other sensors technologies was discussed.

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mentioning

confidence: 99%

Use of a real-time location system to detect cows in distinct functional areas within a barn

Chapa

Lidauer²,

Steininger³

et al. 2021

JDS Communications

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“…In addition to feed intake, cattle behavioral activity is used as an indication of animal comfort and well-being. Specifically, lying behavior is often a sign of cattle well-being [ 45 , 46 , 47 ]. Lying and resting behavior are important for cattle, and longer lying times are often associated with better welfare [ 48 ].…”

Section: Discussionmentioning

confidence: 99%

The Influence of Environmental Conditions on Intake Behavior and Activity by Feedlot Steers Fed Corn or Barley-Based Diets

DelCurto-Wyffels

Dafoe

Parsons

et al. 2021

Animals

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This study evaluated the influence of diet and environmental conditions on intake behavior and activity of feedlot steers. Feedlot rations used were comprised of a main concentrate: (1) corn or (2) barley. A GrowSafe system measured individual animal intake and behavior and HOBO accelerometers measured steer standing time. An Onset weather station collected on site weather data. Steer daily intake displayed a diet by temperature class interaction (p ≤ 0.05). Relative temperature change had no effect on variation in intake (p = 0.60); however, diet influenced variation of intake (p < 0.01), where corn-fed steers had a greater coefficient of variation (CV) than barley-fed steers (21.89 ± 1.46 vs. 18.72 ± 1.46%). Time spent eating (min d−1) and eating rate (g min−1) both displayed a diet by temperature class interaction (p ≤ 0.05). Diet did not affect steer lying activity (p ≥ 0.12), however, time spent lying (min d−1) and frequency of lying bouts (bouts d−1) increased on relatively cold days while the duration of lying bouts (min bout−1; p < 0.01) decreased. Short-term environmental temperature changes interacted with diet influencing feedlot beef cattle intake behavior; however, they did not interact with basal diet in respect to steer activity.

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“…Other research indicate that a combination of data from accelerators with data from body temperature sensors allows for automatic detection of infections 1–3 days before using specific diagnostic methods [ 23 ]. Thus far, high accuracies have been found for movement and resting behaviours in cows and pigs, while the development of algorithms for analysing feeding and drinking behaviours in pigs is far behind these developed for cattle [ 103 ].…”

Section: Welfare Monitoring Systems For Pigsmentioning

confidence: 99%

“…Monitoring of pig activity: posture and walking patterns, the length of time it spends standing up [ 103 ].…”

Section: Tablementioning

confidence: 99%

Welfare Health and Productivity in Commercial Pig Herds

Racewicz

Ludwiczak

Skrzypczak

et al. 2021

Animals

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In recent years, there have been very dynamic changes in both pork production and pig breeding technology around the world. The general trend of increasing the efficiency of pig production, with reduced employment, requires optimisation and a comprehensive approach to herd management. One of the most important elements on the way to achieving this goal is to maintain animal welfare and health. The health of the pigs on the farm is also a key aspect in production economics. The need to maintain a high health status of pig herds by eliminating the frequency of different disease units and reducing the need for antimicrobial substances is part of a broadly understood high potential herd management strategy. Thanks to the use of sensors (cameras, microphones, accelerometers, or radio-frequency identification transponders), the images, sounds, movements, and vital signs of animals are combined through algorithms and analysed for non-invasive monitoring of animals, which allows for early detection of diseases, improves their welfare, and increases the productivity of breeding. Automated, innovative early warning systems based on continuous monitoring of specific physiological (e.g., body temperature) and behavioural parameters can provide an alternative to direct diagnosis and visual assessment by the veterinarian or the herd keeper.

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Accelerometer systems as tools for health and welfare assessment in cattle and pigs – A review

Cited by 63 publications

References 141 publications

Use of a real-time location system to detect cows in distinct functional areas within a barn

Use of a real-time location system to detect cows in distinct functional areas within a barn

The Influence of Environmental Conditions on Intake Behavior and Activity by Feedlot Steers Fed Corn or Barley-Based Diets

Welfare Health and Productivity in Commercial Pig Herds

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