precision livestock management · 2019-11-30 · dr robin dobos livestock systems plm –robin...
TRANSCRIPT
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Precision Livestock
Management
Dr Robin Dobos
Livestock SystemsPLM – Robin Dobos – Livestock Systems – 4th October 2016
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Precision Livestock Management
Challenges & Opportunities - MISP 2020
Monitoring pastures
PLM
– Definition
– Introduction
– Research
– Applications
Discussion
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From MISP 2020
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MISP 2020
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Do you believe consumer perception has/or
will have an impact on the way you farm?
1. Yes
2. No
Yes No
10%
90%
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Challenges
Off-farm costs greater than our competitors
On-farm productivity performance is now below productivity
improvements being secured by our major competitors
The onus on the production sectors is to find new pathways
to productivity
This is an on-going challenge for our industry.
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The opportunities
Opportunities exist for new technologies to keep the
Australian red meat industry internationally competitive
– Reducing cost of production
– Increasing efficiency of production from pasture
Is there a role for Precision Livestock Management?
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How do you determine how much
pasture is in a paddock?
1. Gut feel
2. Visual assessment
3. Technology
Gut feel
Visual
asse
ssm
ent
Tech
nology
6% 0%
94%
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Monitoring pastures
Many methods
– Visual
– Rising plate meter
– Capacitance meter
– Active optical sensors (eg GreenSeeker)
Calibration
Diverse species
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Pastures from Space
Pasture Growth Rate
(PGR)
Food-on-Offer (FOO)
Donald GE, Trotter MG, Lamb DW (2010) Precision livestock management: an example of pasture monitoring in
Eastern Australian pastures using proximal and remote sensing tools. In '10th International Conference of
Precision Agriculture'. Denver, Colorado, USA. (Ed. R Kholsa). (Colorado State University).
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Mapping
10-12-08_10m
kg GDM /Ha
202 - 402
403 - 579
580 - 796
797 - 1,139
1,140 - 1,962
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UAV deployment?
80 ha Wheat (early flag leaf)
On-ground
CropCircle
(ACS-210)
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Precision Livestock Management (PLM)
Definition
Ability to identify critical-control points in the
production system early enough to implement
corrective measures to ensure animal health,
welfare and sustainability are not compromised
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Precision Livestock Management
The ability to monitor individual livestock and provide
producers to enhance decision making in the livestock
production system
Has the potential to facilitate more rapid, frequent and
objective monitoring of animal performance
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What do we already know about our livestock
system?
Species, sex, age, class
Environmental information (temp, rainfall, wind etc)
Pasture/feed availability
But what are the animals doing?
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What are your animals doing?
Behaviour
– fast and direct reaction to environmental changes
– direct interaction with other animals
– indicator of animal wellbeing or stress
• Lameness, infected (internal parasites etc)
How can you use this important information?!
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Sensors used in PLM
Many sensors exist
– Measure motion (accelerometers, gyroscopes)
– Location (GPS/GNSS)
– Direction (magnetometers)
– Height & density of pasture (Active Optical Sensors)
– Temperature, soil moisture etc
Currently used in:
– Intensive animal industries eg dairy (motion sensors)
• Lameness, oestrus detection
Can they be used to help producers improve management?
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DPI/PARG Research are addressing five areas
1. Determination of the key indicators that can be identified
using sensors;
2. Field testing of a few technologies currently available;
3. Data analysis
– integrated solutions that improve producer decision
making;
4. Define the value created by the use of PLM;
5. Collaborate with commercial partners for on-farm use
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Which parts of the farm are the livestock using?
Where you expect your cattle to go isn’t always
where they do go!
1am 8am 2pm
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Understanding livestock behavioural patterns
Trotter MG, Lamb DW, Hinch GN, Guppy CN (2010) Global Navigation Satellite Systems (GNSS)
livestock tracking: system development and data interpretation. Animal Production Science 50, 616–623.
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Combining pasture and animal
Animal Product Yield Maps (APYM)
An APYM reveals the spatial variability and
productivity expressed in terms relevant to
producers (e.g. kilograms of red meat grown
per day).
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After Trotter et al (2014)
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Measuring animal activity
Accelerometers
They are every where:
Air bags, phones, computers, watches, TVs, etc etc
Ability to monitor individual animals
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What do we measure on the animal?
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NSW DPI & UNE PARG studies
Cattle and sheep activity at
pasture
– What are they doing
• Head movement (grazing)
• Jaw movement (biting,
chewing)
• Searching (walking)
• Resting (lying/standing)
Behaviour classification
Monitoring health
Estimate intake
Energy expenditure
Annotation
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Grazing
Categorization of behaviour - cattle
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Grazing
Non-grazing
Categorization of behaviour - sheep
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“Chewing” “Nothing”
Forward and Backward Side movements Up and Down
swallow regurgitate
Rumination Behaviour - sheep
Courtesy Flavio Alvarenga 2015
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Courtesy Robin Dobos 2016
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Courtesy CSIRO
Courtesy UNE PARG
Courtesy Flavio Alvarenga 2015
Courtesy Jamie Barwick 2015
accelerometer
microphone
accelerometer
accelerometer
GPS
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Courtesy Sam Platts 2016
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Past, present & future research
GPS
– Location
– Activity (poor predictor)
– In combination with climate sensors
Activity sensors
– Grazing, walking, standing, lying, ruminating, etc (high accuracy)
– Eating (jaw movements) – intake
Location + activity (real-time)
– Personal navigation system for livestock
– Identify individual animals
• What are they doing, where are they?
Virtual fencing
– legislation
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Given all the components we can measure, what do
you think is the most important to your livestock
business?
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Challenges - PLM
“Making sense of sensor data”
• Algorithms
• Between animal variation
• Sensor location (ear tag)
– Annotation of behaviour + signals
Valuing PLM?
Commercialisation
– Partners
PLM – red meat industry’s international competiveness
– Investment at the R&D phase by RDC etc
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Acknowledgements
NSW DPI collaborators
– Dr Paul Greenwood, Dr Hutton Oddy, Soils, Pasture & Climate groups within
Livestock Systems
University of New England, Precision Agriculture Research Group
– Dr Mark Trotter, Prof David Lamb, Mr Derek Schneider, students
CSIRO – “Chiswick”, Armidale
Commercial companies
CRCs
– Spatial Information
– Sheep
Funding bodies (MLA, DA, private)
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Thank you
Discussion/Questions