Research platform for cattle virtual fences

Acosta, Nestor; Barreto, Nicolas B.; Caitano, Pablo; Marichal, Raúl; Pedemonte, Martín; Oreggioni, Julian

doi:10.1109/icit45562.2020.9067313

Cited by 7 publications

(4 citation statements)

References 7 publications

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“…As both the sampling rates of the accelerometer (59.5 Hz) and GPS (1 Hz) sensors are very high, further work is needed to (1) reduce the sampling rate of the accelerometer sensors without decreasing the performance of behavior prediction and to (2) adapt the sampling rate of the GPS sensors to get the desired spatial scale for every application. Another way to deal with this problem is to use solar energy to recharge the battery, as has recently been proposed for virtual fences [ 47 ]. Given the potential of the approach developed for research on cattle behavior at grazing, this engineering effort is really worthwhile to make the tool operational for experimental farms.…”

Section: Discussionmentioning

confidence: 99%

Use of Predicted Behavior from Accelerometer Data Combined with GPS Data to Explore the Relationship between Dairy Cow Behavior and Pasture Characteristics

Riaboff

Couvreur

Madouasse

et al. 2020

Sensors

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Our aim in this study was to investigate whether the behaviors of dairy cows on pasture, predicted with accelerometer data and combined with GPS data, can be used to better understand the relationship between behaviors and pasture characteristics. During spring 2018, 26 Holstein cows were equipped with a 3D-accelerometer and a GPS sensor fixed on a neck-collar for five days. The cows grazed alternatively in permanent and in temporary grasslands. The structural elements, soil moisture, slope and botanical characteristics were identified. Behaviors were predicted every 10 s from the accelerometer data and combined with the GPS data. The time-budgets expressed in each characterized zone of 8 m × 8 m were calculated. The relation between the time-budgets and pasture characteristics was explored with a linear mixed model. In the permanent grassland, dairy cows spent more time under a tree to ruminate (p < 0.001) and to rest (p < 0.001) and more time to graze in areas with Holcus lanatus (p < 0.001). In the temporary grassland, behavior was influenced by the external environment (presence of other animals on the farm; p < 0.05). Thus, this methodology seems relevant to better understand the relationship between the behaviors of dairy cows and grazing conditions to develop precision grazing.

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Section: Discussionmentioning

confidence: 99%

Use of Predicted Behavior from Accelerometer Data Combined with GPS Data to Explore the Relationship between Dairy Cow Behavior and Pasture Characteristics

Riaboff

Couvreur

Madouasse

et al. 2020

Sensors

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“…The general public has shown some concern about animal welfare when it comes to implementing virtual fencing technology [79]. Acosta et al [80] have thus suggested replacing the electrical stimuli with tactile stimuli. However, several authors have confirmed that the VF does not impact welfare any greater than traditional physical electric fencing [81][82][83][84][85].…”

Section: Global Navigation Satellite Systems (Gnss)mentioning

confidence: 99%

Mapping Welfare: Location Determining Techniques and Their Potential for Managing Cattle Welfare—A Review

Hofstra

Roelofs

Rutter

et al. 2022

Dairy

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Several studies have suggested that precision livestock farming (PLF) is a useful tool for animal welfare management and assessment. Location, posture and movement of an individual are key elements in identifying the animal and recording its behaviour. Currently, multiple technologies are available for automated monitoring of the location of individual animals, ranging from Global Navigation Satellite Systems (GNSS) to ultra-wideband (UWB), RFID, wireless sensor networks (WSN) and even computer vision. These techniques and developments all yield potential to manage and assess animal welfare, but also have their constraints, such as range and accuracy. Combining sensors such as accelerometers with any location determining technique into a sensor fusion system can give more detailed information on the individual cow, achieving an even more reliable and accurate indication of animal welfare. We conclude that location systems are a promising approach to determining animal welfare, especially when applied in conjunction with additional sensors, but additional research focused on the use of technology in animal welfare monitoring is needed.

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“…Dairy cattle that are virtually fenced for more than about four days may display reduced activity, grazing time and ruminating time and experience increased stress (indicated by milk cortisol levels) . It might be possible to replace the electrical shock that a collar delivers to the top of the neck with a tactile stimulus produced by a vibrating motor (Acosta, Barreto, Caitano, Marichal, Pedemonte and Oreggioni 2020). However, it is unclear at present how effective this would be in controlling the movement of all individuals in a herd, nor if it would reduce or eliminate welfare concerns.…”

Section: Vii) Collars Linked To Virtual Fencing and Containment Systemsmentioning

confidence: 99%

Electric shock control of farmed animals: Welfare review and ethical critique

Grumett¹,

Butterworth²

2022

Anim. welf.

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The available methods of electric shock control or containment of farmed animals are increasing and potentially include: (i) fixed and movable electric fencing; (ii) cattle trainers; (iii) prods or goads; (iv) wires in poultry barns; (v) dairy collecting yard backing gates; (vi) automated milking systems (milking robots); and (vii) collars linked to virtual fencing and containment systems. Since any electric shock is likely to cause a farmed animal pain, any such control or containment must, to be ethically justifiable, bring clear welfare benefits that cannot be practicably delivered in other ways. Associated areas of welfare concern with ethical implications include the displacement of stockpersons by technology, poor facility design, stray voltage, coercive behavioural change and indirect impacts on human society and values.

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Research platform for cattle virtual fences

Cited by 7 publications

References 7 publications

Use of Predicted Behavior from Accelerometer Data Combined with GPS Data to Explore the Relationship between Dairy Cow Behavior and Pasture Characteristics

Use of Predicted Behavior from Accelerometer Data Combined with GPS Data to Explore the Relationship between Dairy Cow Behavior and Pasture Characteristics

Mapping Welfare: Location Determining Techniques and Their Potential for Managing Cattle Welfare—A Review

Electric shock control of farmed animals: Welfare review and ethical critique

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