Virtual fences for controlling livestock using satellite-tracking and warning signals

Muminov, Azamjon; Na, Daeyoung; Lee, Cheolwon; Jeon, Heung Seok

doi:10.1109/icisct.2016.7777385

Cited by 8 publications

(6 citation statements)

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“…The algorithm that is used for cattle was initially developed by the Commonwealth Scientific and Industrial Research Organisation (CSIRO) Canberra, Australia. The virtual fencing devices use an algorithm that combines GPS with animal behavior to implement the virtual fence [15,16,17]. Similar to a physical fence, virtual fences assist in providing a boundary to contain animals, but unlike conventional fencing, they do not implement a physical barrier [18].…”

Section: Introductionmentioning

confidence: 99%

RETRACTED: Modern Virtual Fencing Application: Monitoring and Controlling Behavior of Goats Using GPS Collars and Warning Signals

Muminov

Lee

et al. 2019

Sensors

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This paper describes our virtual fence system for goats. The present invention is a method of controlling goats without visible physical fences and monitoring their condition. Control occurs through affecting goats, using one or more sound signals and electric shocks when they attempt to enter a restricted zone. One of the best Machine Learning (ML) classifications named Support Vector Machines (SVM) is used to observe the condition. A virtual fence boundary can be of any geometrical shape. A smart collar on goats’ necks can be detected by using a virtual fence application. Each smart collar consists of a global positioning system (GPS), an XBee communication module, an mp3 player, and an electrical shocker. Stimuli and classification results are presented from on-farm experiments with a goat equipped with smart collar. Using the proposed stimuli methods, we showed that the probability of a goat receiving an electrical stimulus following an audio cue (dog and emergency sounds) was low (20%) and declined over the testing period. Besides, the RBF kernel-based SVM classification model classified lying behavior with an extremely high classification accuracy (F-score of 1), whilst grazing, running, walking, and standing behaviors were also classified with a high accuracy (F-score of 0.95, 0.97, 0.81, and 0.8, respectively).

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Section: Introductionmentioning

confidence: 99%

RETRACTED: Modern Virtual Fencing Application: Monitoring and Controlling Behavior of Goats Using GPS Collars and Warning Signals

Muminov

Lee

et al. 2019

Sensors

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“…In general terms the technology framework for remote automated management of livestock falls under four broad categories. Off animal monitoring (Menzies et al, 2017a), off animal control, on animal monitoring (Swain et al, 2011), and on animal control or virtual fencing (Anderson, 2007;Bishop-Hurley et al, 2007;Umstatter, 2011;Umstatter et al, 2013;Anderson et al, 2014;Muminov et al, 2016;Lomax et al, 2019). Broadly speaking these technologies rely on manipulating behaviour through a combination of managing critical resources that livestock require on a regular basis e.g., watering points and directly controlling livestock behaviour through cues and controls.…”

Section: Technology Developments Required To Deliver Fenceless Livestock Farmingmentioning

confidence: 99%

Back to Nature With Fenceless Farms—Technology Opportunities to Reconnect People and Food

Swain

Charters

2021

Front. Sustain. Food Syst.

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The development and application of the fence was one of the earliest forms of agricultural technology in action. Managing the supply of animal protein required hunter gatherer communities to be able to domesticate and contain wild animals. Over the ages the fence has become ingrained in the very fabric of society and created a culture of control and ownership. Garett Hardin's article titled “The Tragedy of the Commons” suggested that shared land, typified by access to a fenceless common resource, was doomed to failure due to a human instinct for mistrust and exploitation. Perhaps the fence has created an ingrained societal cultural response. While natural ecosystems do have physical boundaries, these are based on natural environmental zones. Landscapes are more porous and resilience is built up through animal's being able to respond to dynamic changes. This paper explores the opportunity for remote monitoring technologies to create open fenceless landscapes and how this might be integrated into the growing need for humans to access animal protein.

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“…The SGs were generally able identify innovations to address specific management challenges, probably because they could draw on their actual experiences of work already being undertaken. For instance, managers of some HNCV silvopastoral systems are introducing invisible fencing and GPS-based innovative tools that reduce the cost or increase the effectiveness of livestock herding (Markus et al 2014;Umstatter et al 2015, Muminov et al 2016. However the development of lower-cost and lower energy-consuming devices is still required.…”

Section: Challenges and Solutions Regarding Managementmentioning

confidence: 99%

Challenges and innovations for improving the sustainability of European agroforestry systems of high nature and cultural value: stakeholder perspectives

et al. 2020

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Traditional forms of agroforestry are often recognized as exemplar systems that successfully integrate food production, biodiversity conservation and high cultural values. However many traditional agroforestry systems in Europe are in decline or are threatened and the perspectives of local stakeholders on the production, management, socio-economic, and environmental dimensions of such systems are not fully understood. In order to fill this gap, we present results of participatory research performed with ten stakeholder groups (SG) across Europe to search for solutions to improve the economic and ecological sustainability of High Nature and Cultural Value agroforestry systems (HNCV agroforestry). Stakeholders included both users and beneficiaries of the HNCV agroforestry. First, SGs held open discussions (227 participants) to identify major challenges for the long-term sustainability of HNCV agroforestry. Challenges were classified into production, management, socioeconomic and the environment categories. Second, they responded to structured questionnaires (120 respondents) that explored the positive and negative perceptions of 45 possible attributes of HNCV

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Virtual fences for controlling livestock using satellite-tracking and warning signals

Cited by 8 publications

References 1 publication

RETRACTED: Modern Virtual Fencing Application: Monitoring and Controlling Behavior of Goats Using GPS Collars and Warning Signals

RETRACTED: Modern Virtual Fencing Application: Monitoring and Controlling Behavior of Goats Using GPS Collars and Warning Signals

Back to Nature With Fenceless Farms—Technology Opportunities to Reconnect People and Food

Challenges and innovations for improving the sustainability of European agroforestry systems of high nature and cultural value: stakeholder perspectives

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