Chapter 3: Herdsman+: artificial intelligence enabled systems and services for livestock farming: Herdsman+ artificial intelligence enabled systems and services for livestock farming

C. Michie; I. Andonovic; C. Tachtatzis; C. Davison; A. Hamilton

doi:10.3920/978-90-8686-934-3_3

Chapter 3: Herdsman+: artificial intelligence enabled systems and services for livestock farming: Herdsman+ artificial intelligence enabled systems and services for livestock farming

C. Michie, I. Andonovic, C. Tachtatzis, C. Davison, A. Hamilton

Research output: Chapter in Book/Report/Conference proceeding › Chapter

126 Downloads (Pure)

Abstract

The application of artificial intelligence coupled with the growth in the availability of cost- effective low power computing platforms, has accelerated the adoption of on-farm technologies that support the decision making of farmers. An exemplar of the evolution is encapsulated by the development of activity monitors for dairy cattle, migrating from simple step counting devices designed to identify the onset of oestrus to systems that continuously monitor individual cattle and provide insights into the time spent eating, ruminating, calving and other key welfare events such as lameness and mastitis. The Chapter illustrates how the use of digital technologies has brought benefit to the livestock farming industry, presenting the current state-of-the-art with emphasis on accentuating the potential for cloud based platforms to support the integration of multiple on-farm data streams, the foundation for the provision of a mix of data-driven animal-centric services that bring further benefits to the livestock community.

Original language	English
Title of host publication	Practical Precision Livestock Farming (PLF)
Subtitle of host publication	Hands-On Experiences with PLF Technologies in Commercial and R&D Settings
Editors	Thomas Banhazi, Francisco Maroto Molina, Veronika Halas
Place of Publication	Wageningen, The Netherlands
Chapter	3
Pages	53-70
Number of pages	18
ISBN (Electronic)	9789086869343
DOIs	https://doi.org/10.3920/978-90-8686-934-3_3
Publication status	Published - 12 Sept 2022

Publication series

Name	Practical Precision Livestock Farming
Publisher	Wageningen Academic Publishers

Keywords

agricultural engineering
prevision livestock systems
decision support applications
internet-of-things (IoT)
wireless sensor networks (WSNs)
artificial intelligence (AI)
machine learning (ML)

Access to Document

10.3920/978-90-8686-934-3_3

Michie-etal-PLF-2022-Practical-precision-livestock-farming-PLF-Herdsman-artificial-intelligenceFinal published version, 954 KBLicence: CC BY 4.0

2 Finished

Internet of Food Farm 2020 (IoF2020) (H2020 LEIT CC)
Andonovic, I. (Principal Investigator) & Michie, C. (Co-investigator)
European Commission - Horizon Europe + H2020
1/01/17 → 31/12/20
Project: Research
PrecisionBeef
Michie, C. (Principal Investigator) & Andonovic, I. (Co-investigator)
BBSRC (Biotech & Biological Sciences Research Council)
1/04/15 → 30/06/18
Project: Research

5 Article
1 Chapter

Predicting feed intake using modelling based on feeding behaviour in finishing beef steers
Davison, C., Bowen, J. M., Michie, C., Rooke, J. A., Jonsson, N., Andonovic, I., Tachtatzis, C., Gilroy, M. & Duthie, C.-A., 31 Jul 2021, In: Animal. 15, 7, 7 p., 100231.
Research output: Contribution to journal › Article › peer-review

Open Access
File
8 Citations (Scopus)

55 Downloads (Pure)
Classification of cattle behaviours using neck-mounted accelerometer-equipped collars and convolutional neural networks
Pavlovic, D., Davison, C., Hamilton, A., Marko, O., Atkinson, R., Michie, C., Crnojević, V., Andonovic, I., Bellekens, X. & Tachtatzis, C., 12 Jun 2021, In: Sensors. 21, 12, 18 p., 4050.
Research output: Contribution to journal › Article › peer-review

Open Access
File
37 Citations (Scopus)

90 Downloads (Pure)
The Internet of Things enhancing animal welfare and farm operational efficiency
Michie, C., Andonovic, I., Davison, C., Hamilton, A., Tachtatzis, C., Jonsson, N., Duthie, C.-A., Bowen, J. & Gilroy, M., 31 Aug 2020, In: Journal of Dairy Research. 87, S1, p. 20-27 8 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File
56 Citations (Scopus)

37 Downloads (Pure)

Cite this

Michie, C., Andonovic, I., Tachtatzis, C., Davison, C., & Hamilton, A. (2022). Chapter 3: Herdsman+: artificial intelligence enabled systems and services for livestock farming: Herdsman+ artificial intelligence enabled systems and services for livestock farming. In T. Banhazi, F. M. Molina, & V. Halas (Eds.), Practical Precision Livestock Farming (PLF): Hands-On Experiences with PLF Technologies in Commercial and R&D Settings (pp. 53-70). (Practical Precision Livestock Farming).. https://doi.org/10.3920/978-90-8686-934-3_3

Michie, C. ; Andonovic, I. ; Tachtatzis, C. et al. / Chapter 3: Herdsman+: artificial intelligence enabled systems and services for livestock farming : Herdsman+ artificial intelligence enabled systems and services for livestock farming. Practical Precision Livestock Farming (PLF): Hands-On Experiences with PLF Technologies in Commercial and R&D Settings. editor / Thomas Banhazi ; Francisco Maroto Molina ; Veronika Halas. Wageningen, The Netherlands, 2022. pp. 53-70 (Practical Precision Livestock Farming).

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abstract = "The application of artificial intelligence coupled with the growth in the availability of cost- effective low power computing platforms, has accelerated the adoption of on-farm technologies that support the decision making of farmers. An exemplar of the evolution is encapsulated by the development of activity monitors for dairy cattle, migrating from simple step counting devices designed to identify the onset of oestrus to systems that continuously monitor individual cattle and provide insights into the time spent eating, ruminating, calving and other key welfare events such as lameness and mastitis. The Chapter illustrates how the use of digital technologies has brought benefit to the livestock farming industry, presenting the current state-of-the-art with emphasis on accentuating the potential for cloud based platforms to support the integration of multiple on-farm data streams, the foundation for the provision of a mix of data-driven animal-centric services that bring further benefits to the livestock community.",

keywords = "agricultural engineering, prevision livestock systems, decision support applications, internet-of-things (IoT), wireless sensor networks (WSNs), artificial intelligence (AI), machine learning (ML)",

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Michie, C , Andonovic, I , Tachtatzis, C , Davison, C & Hamilton, A 2022, Chapter 3: Herdsman+: artificial intelligence enabled systems and services for livestock farming: Herdsman+ artificial intelligence enabled systems and services for livestock farming. in T Banhazi, FM Molina & V Halas (eds), Practical Precision Livestock Farming (PLF): Hands-On Experiences with PLF Technologies in Commercial and R&D Settings. Practical Precision Livestock Farming, Wageningen, The Netherlands, pp. 53-70. https://doi.org/10.3920/978-90-8686-934-3_3

Chapter 3: Herdsman+: artificial intelligence enabled systems and services for livestock farming: Herdsman+ artificial intelligence enabled systems and services for livestock farming. / Michie, C.; Andonovic, I.; Tachtatzis, C. et al.
Practical Precision Livestock Farming (PLF): Hands-On Experiences with PLF Technologies in Commercial and R&D Settings. ed. / Thomas Banhazi; Francisco Maroto Molina; Veronika Halas. Wageningen, The Netherlands, 2022. p. 53-70 (Practical Precision Livestock Farming).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

TY - CHAP

T1 - Chapter 3: Herdsman+: artificial intelligence enabled systems and services for livestock farming

T2 - Herdsman+ artificial intelligence enabled systems and services for livestock farming

AU - Michie, C.

AU - Andonovic, I.

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AU - Davison, C.

AU - Hamilton, A.

PY - 2022/9/12

Y1 - 2022/9/12

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AB - The application of artificial intelligence coupled with the growth in the availability of cost- effective low power computing platforms, has accelerated the adoption of on-farm technologies that support the decision making of farmers. An exemplar of the evolution is encapsulated by the development of activity monitors for dairy cattle, migrating from simple step counting devices designed to identify the onset of oestrus to systems that continuously monitor individual cattle and provide insights into the time spent eating, ruminating, calving and other key welfare events such as lameness and mastitis. The Chapter illustrates how the use of digital technologies has brought benefit to the livestock farming industry, presenting the current state-of-the-art with emphasis on accentuating the potential for cloud based platforms to support the integration of multiple on-farm data streams, the foundation for the provision of a mix of data-driven animal-centric services that bring further benefits to the livestock community.

KW - agricultural engineering

KW - prevision livestock systems

KW - decision support applications

KW - internet-of-things (IoT)

KW - wireless sensor networks (WSNs)

KW - artificial intelligence (AI)

KW - machine learning (ML)

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CY - Wageningen, The Netherlands

ER -

Michie C , Andonovic I , Tachtatzis C , Davison C, Hamilton A. Chapter 3: Herdsman+: artificial intelligence enabled systems and services for livestock farming: Herdsman+ artificial intelligence enabled systems and services for livestock farming. In Banhazi T, Molina FM, Halas V, editors, Practical Precision Livestock Farming (PLF): Hands-On Experiences with PLF Technologies in Commercial and R&D Settings. Wageningen, The Netherlands. 2022. p. 53-70. (Practical Precision Livestock Farming). Epub 2022 Sept 9. doi: 10.3920/978-90-8686-934-3_3

Chapter 3: Herdsman+: artificial intelligence enabled systems and services for livestock farming: Herdsman+ artificial intelligence enabled systems and services for livestock farming

Abstract

Publication series

Keywords

Access to Document

Fingerprint

Projects

Internet of Food Farm 2020 (IoF2020) (H2020 LEIT CC)

PrecisionBeef

Research output

Predicting feed intake using modelling based on feeding behaviour in finishing beef steers

Classification of cattle behaviours using neck-mounted accelerometer-equipped collars and convolutional neural networks

The Internet of Things enhancing animal welfare and farm operational efficiency

Cite this