Opportunities and challenges for real-time management (RTM) in extensive livestock systems

A Waterhouse*, JP Holland, A McLaren, R Arthur, C-A Duthie, S Kodam, HM Wishart

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

Extensive livestock systems face many challenges associated with their environment. They are often associated with poor quality grazing, harsh weather conditions, few or no fences and do not allow for frequent inspections of animals. In addition, the availability of appropriately skilled labour is becoming short in supply. PLF technology promises the capability to transform these systems. Four technologies are evaluated through case studies related to practical deployment and some research results. (1) LoRaWAN (Long Range Wide Area Network) often referred to as LoRa, which is an enabling, IoT, technology communicating, in this case, from animal-wearable sensors, via cloud-based computing to end-users. A network involving two LoRa gateways was established linking on-animal sensors to the ‘cloud’ and thence to management information. (2) GNSS - location data were collected from collars and communicated, via LoRa, to determine data transfer efficiency and location accuracy. (3) Proximity sensors - small proximity beacons on lambs and receivers with LoRA transmitters on their collared dams to assess lamb-dam pedigree information. (4) Tri-axial inertia movement units (IMU) - IMU data was communicated in real-time via LoRa enabled transmitting neck collars. The range of wearable technology provided reliable and potentially useful management information. Combined technologies provide the best technical promise but all four technologies have particular challenges in terms of costs and benefits in these extensive systems.
Original languageEnglish
Title of host publicationPrecision Livestock Farming '19. Proceedings of the European Conference in Precision Livestock Farming.
Pages20-26
Publication statusPrint publication - Aug 2019
EventThe European Conference on Precision Livestock Farming - Cork, Ireland
Duration: 26 Aug 201929 Aug 2019

Conference

ConferenceThe European Conference on Precision Livestock Farming
CountryIreland
CityCork
Period26/08/1929/08/19

Fingerprint

time management
livestock
sensors (equipment)
information management
collars
lambs
plant and animal inspection
fences
pedigree
neck
animals
labor
weather
grazing
case studies

Cite this

Waterhouse, A., Holland, JP., McLaren, A., Arthur, R., Duthie, C-A., Kodam, S., & Wishart, HM. (2019). Opportunities and challenges for real-time management (RTM) in extensive livestock systems. In Precision Livestock Farming '19. Proceedings of the European Conference in Precision Livestock Farming. (pp. 20-26). [155]
Waterhouse, A ; Holland, JP ; McLaren, A ; Arthur, R ; Duthie, C-A ; Kodam, S ; Wishart, HM. / Opportunities and challenges for real-time management (RTM) in extensive livestock systems. Precision Livestock Farming '19. Proceedings of the European Conference in Precision Livestock Farming.. 2019. pp. 20-26
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abstract = "Extensive livestock systems face many challenges associated with their environment. They are often associated with poor quality grazing, harsh weather conditions, few or no fences and do not allow for frequent inspections of animals. In addition, the availability of appropriately skilled labour is becoming short in supply. PLF technology promises the capability to transform these systems. Four technologies are evaluated through case studies related to practical deployment and some research results. (1) LoRaWAN (Long Range Wide Area Network) often referred to as LoRa, which is an enabling, IoT, technology communicating, in this case, from animal-wearable sensors, via cloud-based computing to end-users. A network involving two LoRa gateways was established linking on-animal sensors to the ‘cloud’ and thence to management information. (2) GNSS - location data were collected from collars and communicated, via LoRa, to determine data transfer efficiency and location accuracy. (3) Proximity sensors - small proximity beacons on lambs and receivers with LoRA transmitters on their collared dams to assess lamb-dam pedigree information. (4) Tri-axial inertia movement units (IMU) - IMU data was communicated in real-time via LoRa enabled transmitting neck collars. The range of wearable technology provided reliable and potentially useful management information. Combined technologies provide the best technical promise but all four technologies have particular challenges in terms of costs and benefits in these extensive systems.",
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Waterhouse, A, Holland, JP, McLaren, A, Arthur, R, Duthie, C-A, Kodam, S & Wishart, HM 2019, Opportunities and challenges for real-time management (RTM) in extensive livestock systems. in Precision Livestock Farming '19. Proceedings of the European Conference in Precision Livestock Farming.., 155, pp. 20-26, The European Conference on Precision Livestock Farming, Cork, Ireland, 26/08/19.

Opportunities and challenges for real-time management (RTM) in extensive livestock systems. / Waterhouse, A; Holland, JP; McLaren, A; Arthur, R; Duthie, C-A; Kodam, S; Wishart, HM.

Precision Livestock Farming '19. Proceedings of the European Conference in Precision Livestock Farming.. 2019. p. 20-26 155.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AU - Kodam, S

AU - Wishart, HM

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AB - Extensive livestock systems face many challenges associated with their environment. They are often associated with poor quality grazing, harsh weather conditions, few or no fences and do not allow for frequent inspections of animals. In addition, the availability of appropriately skilled labour is becoming short in supply. PLF technology promises the capability to transform these systems. Four technologies are evaluated through case studies related to practical deployment and some research results. (1) LoRaWAN (Long Range Wide Area Network) often referred to as LoRa, which is an enabling, IoT, technology communicating, in this case, from animal-wearable sensors, via cloud-based computing to end-users. A network involving two LoRa gateways was established linking on-animal sensors to the ‘cloud’ and thence to management information. (2) GNSS - location data were collected from collars and communicated, via LoRa, to determine data transfer efficiency and location accuracy. (3) Proximity sensors - small proximity beacons on lambs and receivers with LoRA transmitters on their collared dams to assess lamb-dam pedigree information. (4) Tri-axial inertia movement units (IMU) - IMU data was communicated in real-time via LoRa enabled transmitting neck collars. The range of wearable technology provided reliable and potentially useful management information. Combined technologies provide the best technical promise but all four technologies have particular challenges in terms of costs and benefits in these extensive systems.

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Waterhouse A, Holland JP, McLaren A, Arthur R, Duthie C-A, Kodam S et al. Opportunities and challenges for real-time management (RTM) in extensive livestock systems. In Precision Livestock Farming '19. Proceedings of the European Conference in Precision Livestock Farming.. 2019. p. 20-26. 155